LoL - Predictions
Lucas Welch
2023-01-28
//Observation: Problem:
//Observation: Take this data set and find which factor (blueWardsPlaced, blueWardsDestroyed, blueFirstBlood, etc) has the largest correlation to winning the game (blueWins) and explain your process briefly. Create a data visualization of your choice using this data set.
Input the following libraries (Not all will be used)
library("corrplot")## corrplot 0.92 loadedlibrary("factoextra")## Loading required package: ggplot2## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBalibrary("ggplot2")
library("randomForest")## randomForest 4.7-1.1## Type rfNews() to see new features/changes/bug fixes.##
## Attaching package: 'randomForest'## The following object is masked from 'package:ggplot2':
##
## marginlibrary("igraph")##
## Attaching package: 'igraph'## The following objects are masked from 'package:stats':
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## decompose, spectrum## The following object is masked from 'package:base':
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## unionlibrary("neuralnet")
library("tidyverse")## ── Attaching packages
## ───────────────────────────────────────
## tidyverse 1.3.2 ──## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.3.0 ✔ stringr 1.5.0
## ✔ readr 2.1.2 ✔ forcats 0.5.2
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::as_data_frame() masks tibble::as_data_frame(), igraph::as_data_frame()
## ✖ dplyr::combine() masks randomForest::combine()
## ✖ purrr::compose() masks igraph::compose()
## ✖ dplyr::compute() masks neuralnet::compute()
## ✖ tidyr::crossing() masks igraph::crossing()
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::groups() masks igraph::groups()
## ✖ dplyr::lag() masks stats::lag()
## ✖ randomForest::margin() masks ggplot2::margin()
## ✖ purrr::simplify() masks igraph::simplify()library("skimr")
library("caret")## Loading required package: lattice
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## Attaching package: 'caret'
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## The following object is masked from 'package:purrr':
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## liftlibrary("neuralnet")Load in the dataset and look at the following variables
league_data <- read.csv("high_diamond_ranked_10min.csv")
league_data## gameId blueWins blueWardsPlaced blueWardsDestroyed blueFirstBlood
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## blueExperienceDiff blueCSPerMin blueGoldPerMin redWardsPlaced
## 1 -8 19.5 1721.0 15
## 2 -1173 17.4 1471.2 12
## 3 -1033 18.6 1611.3 15
## 4 -7 20.1 1515.7 15
## 5 230 21.0 1640.0 17
## 6 101 22.5 1589.9 36
## 7 1563 22.5 1687.4 57
## 8 -800 20.9 1530.5 15
## 9 -771 18.9 1640.1 15
## 10 -1574 22.0 1505.7 16
## 11 -1585 23.1 1547.4 15
## 12 -635 15.7 1669.5 17
## 13 1659 23.8 1786.5 12
## 14 -1141 21.0 1497.9 20
## 15 -187 22.4 1572.2 102
## 16 -1804 20.9 1501.5 18
## 17 3378 26.3 1973.3 13
## 18 -1345 20.3 1485.2 17
## 19 512 21.3 1628.2 19
## 20 -2773 18.8 1499.4 15
## 21 1625 21.4 1860.6 12
## 22 -2821 20.3 1587.8 15
## 23 -567 23.8 1577.3 16
## 24 1283 23.8 1590.6 15
## 25 493 20.8 1651.5 18
## 26 -1067 20.4 1541.5 19
## 27 -55 20.9 1717.8 10
## 28 2015 22.8 1722.6 14
## 29 -413 21.7 1747.4 65
## 30 -1647 23.3 1490.5 18
## 31 2111 22.8 1813.2 21
## 32 1696 21.8 1605.3 15
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## 1908 37 24.5 1716.0 15
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## 1911 3250 22.1 1841.5 12
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## 1918 614 21.5 1537.7 13
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## 1927 -881 24.6 1510.3 18
## 1928 138 22.8 1489.9 20
## 1929 1005 21.1 1660.2 22
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## 1933 -1052 20.4 1642.3 24
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## 1942 25 21.6 1589.2 13
## 1943 -1242 21.8 1680.6 14
## 1944 2754 19.5 1684.7 13
## 1945 639 24.7 1637.3 35
## 1946 -4379 18.9 1329.9 15
## 1947 -108 22.2 1824.9 22
## 1948 446 21.3 1664.1 59
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## 1950 1983 23.4 1695.6 17
## 1951 1344 22.4 1699.2 20
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## 1953 5663 20.7 1975.5 15
## 1954 -52 26.1 1618.1 15
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## 1956 2512 25.7 1888.9 16
## 1957 2398 24.6 1963.0 16
## 1958 555 21.9 1617.2 17
## 1959 953 22.6 1734.5 18
## 1960 2816 19.7 1768.8 49
## 1961 -1073 22.5 1485.9 10
## 1962 281 22.4 1814.4 40
## 1963 -1509 22.2 1640.0 13
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## 1965 363 22.6 1612.8 17
## 1966 6466 23.5 2141.6 16
## 1967 -1356 21.7 1459.2 15
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## 1969 -2025 23.4 1620.5 17
## 1970 368 22.4 1836.3 17
## 1971 620 23.7 1840.1 15
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## 1973 2149 21.5 1640.9 98
## 1974 1005 21.8 1673.9 32
## 1975 -1226 21.2 1598.6 15
## 1976 -762 18.6 1426.7 17
## 1977 -572 22.6 1469.2 18
## 1978 129 24.5 1704.5 12
## 1979 -3960 20.2 1363.3 12
## 1980 42 21.3 1859.2 14
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## 1983 -1666 19.5 1713.7 13
## 1984 -2171 20.0 1455.9 48
## 1985 -1808 23.7 1475.8 16
## 1986 1026 23.9 1850.8 13
## 1987 -3710 19.2 1597.8 17
## 1988 216 23.2 1775.9 52
## 1989 1086 23.7 1859.0 13
## 1990 -2890 17.2 1674.9 15
## 1991 1705 20.7 1731.4 18
## 1992 255 21.1 1898.3 34
## 1993 -2912 19.9 1632.5 14
## 1994 -2381 20.5 1447.8 88
## 1995 -2767 20.1 1409.9 18
## 1996 -83 21.8 1623.4 19
## 1997 1428 20.5 1789.2 43
## 1998 845 23.0 1630.4 15
## 1999 -768 20.1 1668.8 18
## 2000 1244 20.1 1889.4 46
## 2001 -1461 20.0 1576.1 13
## 2002 -2256 20.7 1502.8 19
## 2003 3543 23.2 1723.9 16
## 2004 -1271 23.4 1418.1 18
## 2005 -2772 19.0 1555.7 21
## 2006 -1456 21.8 1606.7 18
## 2007 -654 21.6 1638.6 19
## 2008 2543 21.0 1799.7 40
## 2009 3 19.9 1596.1 12
## 2010 -3254 20.7 1339.5 20
## 2011 885 24.9 1704.8 15
## 2012 -124 19.4 1692.4 13
## 2013 -892 24.2 1490.2 14
## 2014 -3863 18.4 1434.1 18
## 2015 1202 22.9 1798.4 16
## 2016 -1904 20.2 1589.3 17
## 2017 -813 20.8 1613.8 17
## 2018 528 22.4 1626.0 15
## 2019 -836 20.2 1593.1 17
## 2020 1219 18.7 1669.3 14
## 2021 2028 24.7 1820.0 16
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## 1768 7.2 19232 232
## 1769 7.2 18626 211
## 1770 7.0 17955 240
## 1771 7.2 19435 230
## 1772 6.8 17568 215
## 1773 7.0 18183 253
## 1774 7.0 19583 227
## 1775 7.2 18753 206
## 1776 6.6 16557 241
## 1777 6.8 17879 199
## 1778 7.2 18305 200
## 1779 7.2 19024 239
## 1780 7.4 19484 240
## 1781 6.8 17286 228
## 1782 6.6 17342 205
## 1783 7.2 19196 245
## 1784 7.0 17228 220
## 1785 7.0 18288 217
## 1786 6.8 17526 210
## 1787 7.0 19059 236
## 1788 7.4 19705 231
## 1789 6.8 17675 220
## 1790 7.0 18000 205
## 1791 7.2 18978 241
## 1792 6.8 17092 192
## 1793 6.8 17263 229
## 1794 6.6 17058 183
## 1795 6.6 17533 190
## 1796 6.6 16503 239
## 1797 7.0 17819 234
## 1798 6.6 16308 176
## 1799 6.8 16762 198
## 1800 7.2 19095 221
## 1801 6.6 16567 204
## 1802 6.8 17171 207
## 1803 7.2 19999 233
## 1804 7.0 18037 180
## 1805 7.6 20271 226
## 1806 6.8 17497 202
## 1807 6.4 16879 188
## 1808 7.2 18931 231
## 1809 7.4 19524 246
## 1810 7.2 18895 208
## 1811 6.6 17215 211
## 1812 6.8 18020 200
## 1813 6.2 15460 170
## 1814 6.8 16745 216
## 1815 7.0 17716 211
## 1816 7.0 17175 194
## 1817 6.8 16858 213
## 1818 6.4 15973 170
## 1819 7.0 17851 234
## 1820 7.4 19416 248
## 1821 7.4 20036 215
## 1822 7.0 18123 199
## 1823 6.4 17021 188
## 1824 7.2 19692 240
## 1825 7.0 17679 211
## 1826 7.6 21059 208
## 1827 6.8 17716 186
## 1828 7.0 17745 232
## 1829 6.4 16547 215
## 1830 7.4 19394 245
## 1831 7.0 18430 256
## 1832 7.2 18581 214
## 1833 6.8 17938 215
## 1834 6.8 17717 223
## 1835 6.8 17311 183
## 1836 6.6 16826 178
## 1837 5.8 13527 139
## 1838 6.8 17194 232
## 1839 7.2 19100 237
## 1840 7.0 16914 197
## 1841 6.8 17351 205
## 1842 7.2 18602 230
## 1843 7.2 18349 226
## 1844 6.6 17029 226
## 1845 7.0 17597 197
## 1846 7.2 19608 205
## 1847 7.0 18080 200
## 1848 7.2 19034 218
## 1849 5.8 14288 136
## 1850 6.6 16837 209
## 1851 7.0 18009 231
## 1852 6.6 16861 205
## 1853 6.8 18399 207
## 1854 6.8 16341 225
## 1855 7.6 20687 236
## 1856 6.6 16746 195
## 1857 7.0 18393 201
## 1858 6.8 17642 186
## 1859 6.6 15651 205
## 1860 7.2 18734 183
## 1861 7.0 19147 238
## 1862 6.6 16011 176
## 1863 7.2 18347 197
## 1864 7.2 19245 170
## 1865 7.2 18909 261
## 1866 7.0 17949 224
## 1867 7.0 18127 208
## 1868 6.6 17206 232
## 1869 7.0 18634 203
## 1870 7.4 18982 254
## 1871 7.0 18697 225
## 1872 7.4 19457 253
## 1873 7.0 18381 220
## 1874 7.0 17930 195
## 1875 7.4 19678 241
## 1876 7.0 18226 213
## 1877 7.4 18789 229
## 1878 6.8 17580 230
## 1879 7.4 20066 207
## 1880 6.8 17510 236
## 1881 7.2 19466 235
## 1882 7.0 17502 218
## 1883 7.2 18306 202
## 1884 6.8 16879 234
## 1885 7.6 20472 233
## 1886 7.0 18522 226
## 1887 7.0 18060 225
## 1888 7.2 18745 203
## 1889 6.8 17926 209
## 1890 7.2 19301 244
## 1891 7.0 17559 196
## 1892 7.2 18409 210
## 1893 7.6 19837 216
## 1894 7.4 19452 246
## 1895 6.8 18675 204
## 1896 7.2 18371 205
## 1897 6.8 17043 218
## 1898 7.0 19133 225
## 1899 5.8 14294 199
## 1900 6.8 17453 205
## 1901 7.0 18385 201
## 1902 7.0 18579 234
## 1903 6.8 17575 190
## 1904 6.6 16763 190
## 1905 7.0 18064 253
## 1906 6.4 16346 207
## 1907 7.0 18915 228
## 1908 7.2 19444 231
## 1909 6.8 17664 197
## 1910 7.0 18131 223
## 1911 7.0 17105 223
## 1912 7.0 18217 264
## 1913 6.8 18118 226
## 1914 7.0 17915 222
## 1915 7.0 18161 242
## 1916 7.0 18187 192
## 1917 7.2 18838 232
## 1918 7.0 17701 225
## 1919 6.8 17540 213
## 1920 6.8 17939 195
## 1921 6.0 14390 159
## 1922 6.6 15817 178
## 1923 6.6 16344 208
## 1924 7.0 18507 221
## 1925 7.2 19078 210
## 1926 7.0 18085 212
## 1927 7.4 19440 268
## 1928 6.8 18045 234
## 1929 7.0 16913 227
## 1930 6.8 18284 211
## 1931 6.6 16810 203
## 1932 6.8 18427 207
## 1933 7.0 17952 215
## 1934 7.4 19196 220
## 1935 7.4 18743 212
## 1936 6.8 17790 209
## 1937 7.0 17998 226
## 1938 7.2 19575 240
## 1939 7.2 18932 214
## 1940 7.2 18717 218
## 1941 7.2 18660 237
## 1942 7.2 18018 229
## 1943 7.2 18865 200
## 1944 6.4 15951 247
## 1945 7.2 18657 254
## 1946 7.6 20290 251
## 1947 7.0 18435 231
## 1948 7.0 17918 218
## 1949 7.0 18289 218
## 1950 6.8 17144 236
## 1951 7.0 17372 209
## 1952 7.4 20336 206
## 1953 6.0 14500 220
## 1954 7.2 18478 249
## 1955 7.2 19847 232
## 1956 6.8 17313 175
## 1957 6.8 17783 226
## 1958 6.8 17532 202
## 1959 7.0 18229 252
## 1960 6.8 16676 192
## 1961 7.0 18485 228
## 1962 7.0 17929 231
## 1963 7.2 18918 220
## 1964 7.0 17515 227
## 1965 6.6 16923 229
## 1966 6.0 14565 144
## 1967 7.2 19271 221
## 1968 7.2 18520 233
## 1969 7.4 19534 235
## 1970 7.0 18224 215
## 1971 7.0 17587 239
## 1972 6.8 16747 188
## 1973 7.0 17485 242
## 1974 7.0 18173 196
## 1975 7.2 18846 229
## 1976 7.0 17795 206
## 1977 6.8 17531 234
## 1978 7.0 18658 192
## 1979 7.6 20181 245
## 1980 7.0 17738 197
## 1981 7.2 19271 258
## 1982 7.2 19304 228
## 1983 7.0 18813 215
## 1984 7.4 18805 215
## 1985 7.2 18782 242
## 1986 7.0 18314 207
## 1987 7.2 19572 211
## 1988 6.8 18191 174
## 1989 6.6 16946 238
## 1990 7.0 19408 202
## 1991 7.0 17080 195
## 1992 7.0 17638 175
## 1993 7.2 19083 203
## 1994 7.2 19260 215
## 1995 7.2 19651 218
## 1996 7.2 18627 202
## 1997 6.8 17494 191
## 1998 6.6 17123 234
## 1999 7.2 17775 209
## 2000 6.6 16071 187
## 2001 7.0 18048 212
## 2002 7.4 19673 230
## 2003 6.4 15916 223
## 2004 7.0 18758 253
## 2005 7.2 19682 228
## 2006 7.0 18108 246
## 2007 6.8 18078 255
## 2008 7.2 17889 225
## 2009 6.8 16913 200
## 2010 7.2 19536 257
## 2011 7.0 18001 199
## 2012 6.8 17292 220
## 2013 7.0 18548 215
## 2014 7.6 20551 260
## 2015 6.8 17073 189
## 2016 7.2 19189 228
## 2017 6.8 17210 218
## 2018 6.6 17031 195
## 2019 7.2 18739 217
## 2020 6.2 15506 172
## 2021 7.0 17668 208
## 2022 7.2 18967 226
## 2023 7.0 18159 227
## 2024 6.6 15314 199
## 2025 6.8 16724 215
## 2026 7.0 19418 266
## 2027 7.0 16967 203
## 2028 7.0 17572 221
## 2029 7.4 20546 256
## 2030 6.8 17254 232
## 2031 6.6 17177 229
## 2032 7.4 19313 225
## 2033 7.4 19590 236
## 2034 6.6 17384 223
## 2035 6.6 16016 200
## 2036 7.0 18000 227
## 2037 7.0 17525 216
## 2038 6.4 16385 189
## 2039 6.4 15582 213
## 2040 7.0 18194 234
## 2041 7.2 18658 239
## 2042 7.0 17646 215
## 2043 6.8 16727 171
## 2044 7.2 18165 203
## 2045 6.8 17995 218
## 2046 7.6 19899 237
## 2047 7.2 18902 244
## 2048 7.2 17922 217
## 2049 6.8 17283 222
## 2050 7.2 19598 197
## 2051 6.6 16137 203
## 2052 7.4 20029 204
## 2053 6.8 17209 209
## 2054 7.0 17883 215
## 2055 7.0 18388 220
## 2056 6.4 15947 171
## 2057 6.8 17504 187
## 2058 7.4 20375 246
## 2059 6.8 17339 225
## 2060 6.4 15334 176
## 2061 7.2 18731 210
## 2062 6.6 16687 185
## 2063 6.6 17047 214
## 2064 6.8 17142 199
## 2065 7.4 19489 218
## 2066 7.2 19670 214
## 2067 6.8 17417 198
## 2068 6.8 16469 209
## 2069 7.4 19557 217
## 2070 7.0 18673 210
## 2071 7.0 19293 228
## 2072 7.4 19879 209
## 2073 6.6 16063 224
## 2074 7.0 18269 217
## 2075 7.0 17644 215
## 2076 7.0 17867 189
## 2077 7.0 18057 235
## 2078 6.6 17358 208
## 2079 7.0 17331 200
## 2080 6.8 17685 240
## 2081 7.0 17848 217
## 2082 6.6 16043 229
## 2083 7.2 18249 207
## 2084 6.8 16637 217
## 2085 7.2 18037 210
## 2086 7.0 17803 235
## 2087 7.0 18944 239
## 2088 7.2 19241 215
## 2089 7.0 17496 191
## 2090 7.4 19458 209
## 2091 7.2 19391 230
## 2092 7.2 18732 226
## 2093 7.2 18729 223
## 2094 7.4 19696 220
## 2095 7.2 18127 188
## 2096 6.8 16950 217
## 2097 6.8 17375 248
## 2098 7.0 18290 251
## 2099 7.2 19464 250
## 2100 7.2 19756 240
## 2101 6.2 15288 168
## 2102 6.8 17744 237
## 2103 7.4 20351 241
## 2104 6.6 16312 202
## 2105 6.8 16614 178
## 2106 6.8 16722 183
## 2107 7.0 18133 198
## 2108 7.4 19359 258
## 2109 7.0 18425 243
## 2110 7.2 19533 239
## 2111 7.0 18251 249
## 2112 7.0 19161 239
## 2113 6.0 15146 184
## 2114 6.4 16087 218
## 2115 7.2 19691 183
## 2116 7.0 18672 247
## 2117 7.2 17864 193
## 2118 6.8 16584 185
## 2119 6.4 16257 200
## 2120 7.2 18168 194
## 2121 6.6 16415 174
## 2122 7.0 18743 200
## 2123 7.2 19035 247
## 2124 6.8 18165 209
## 2125 6.8 17185 198
## 2126 7.0 18959 255
## 2127 7.2 19088 204
## 2128 6.8 17363 216
## 2129 7.0 17426 205
## 2130 7.2 18254 218
## 2131 7.4 19188 236
## 2132 7.0 17898 209
## 2133 6.8 18450 252
## 2134 7.0 19054 246
## 2135 7.0 17561 214
## 2136 7.2 19641 250
## 2137 6.4 15719 177
## 2138 6.8 17401 165
## 2139 7.0 18000 258
## 2140 7.0 18605 217
## 2141 7.0 17707 212
## 2142 7.0 18487 232
## 2143 7.0 17525 204
## 2144 6.8 18733 244
## 2145 7.2 18446 192
## 2146 7.0 18334 217
## 2147 7.0 18065 211
## 2148 6.8 16666 221
## 2149 7.2 19254 250
## 2150 6.6 17273 187
## 2151 6.8 16994 203
## 2152 7.0 17869 225
## 2153 6.8 18501 246
## 2154 7.4 19149 217
## 2155 6.6 16698 204
## 2156 6.8 18233 207
## 2157 7.6 19766 212
## 2158 7.0 18361 225
## 2159 6.6 16605 194
## 2160 7.4 18594 230
## 2161 7.0 17979 224
## 2162 7.6 20810 239
## 2163 6.8 17753 215
## 2164 6.6 16636 207
## 2165 6.8 18066 225
## 2166 7.4 19386 245
## 2167 7.4 20602 227
## 2168 7.0 18771 226
## 2169 7.0 18876 248
## 2170 6.8 17501 196
## 2171 7.0 16934 215
## 2172 7.0 17852 223
## 2173 7.4 19880 222
## 2174 7.0 17156 204
## 2175 6.8 17580 215
## 2176 7.2 18410 224
## 2177 6.8 18594 218
## 2178 6.4 16002 205
## 2179 6.6 16060 219
## 2180 6.4 15965 220
## 2181 6.6 17597 194
## 2182 5.8 14699 178
## 2183 7.0 17409 190
## 2184 7.2 19655 223
## 2185 7.0 17704 216
## 2186 6.8 17504 196
## 2187 7.0 18658 217
## 2188 6.8 17621 203
## 2189 6.4 17000 210
## 2190 6.4 15766 212
## 2191 6.8 17528 259
## 2192 6.8 17540 203
## 2193 7.0 17830 223
## 2194 6.8 17062 198
## 2195 6.8 17888 187
## 2196 6.8 18015 217
## 2197 7.2 19614 217
## 2198 6.8 17188 205
## 2199 7.2 18620 223
## 2200 6.6 16618 217
## 2201 6.8 16915 234
## 2202 7.2 19256 215
## 2203 7.2 17767 182
## 2204 7.0 18785 250
## 2205 7.4 19495 242
## 2206 6.6 16696 209
## 2207 6.8 16856 225
## 2208 7.8 20811 250
## 2209 6.8 17987 230
## 2210 6.8 17432 230
## 2211 7.4 19695 212
## 2212 6.6 17676 239
## 2213 7.0 17237 230
## 2214 6.8 18301 242
## 2215 6.6 16474 193
## 2216 7.0 18505 232
## 2217 7.2 19058 224
## 2218 7.0 18536 211
## 2219 7.2 19234 276
## 2220 7.2 19389 240
## 2221 7.0 18696 196
## 2222 7.0 17759 219
## 2223 6.6 17030 201
## 2224 7.0 17791 230
## 2225 6.6 16678 206
## 2226 7.0 18318 220
## 2227 6.8 18283 240
## 2228 7.2 19051 218
## 2229 7.0 19591 230
## 2230 6.6 15996 190
## 2231 7.0 18343 236
## 2232 6.6 16196 205
## 2233 7.0 17981 201
## 2234 7.0 19032 253
## 2235 6.8 17377 225
## 2236 6.6 16439 176
## 2237 7.0 17823 244
## 2238 6.6 16620 197
## 2239 7.6 19611 231
## 2240 6.8 17991 216
## 2241 7.0 17894 200
## 2242 6.6 15702 169
## 2243 7.0 19007 231
## 2244 7.0 17869 211
## 2245 6.8 18225 231
## 2246 6.6 16442 172
## 2247 6.8 16338 203
## 2248 6.8 17381 229
## 2249 7.4 20321 254
## 2250 6.8 19230 247
## 2251 6.6 16945 179
## 2252 6.8 16997 226
## 2253 7.0 17537 212
## 2254 7.0 17887 211
## 2255 7.0 18762 209
## 2256 7.0 18678 197
## 2257 6.8 16739 227
## 2258 7.4 19722 224
## 2259 7.0 19026 239
## 2260 6.6 16482 194
## 2261 7.0 18704 229
## 2262 6.8 17086 223
## 2263 6.8 17068 170
## 2264 7.6 19931 243
## 2265 6.8 17792 222
## 2266 7.2 19078 211
## 2267 7.2 18719 235
## 2268 7.2 19044 222
## 2269 6.6 16811 250
## 2270 6.8 16737 198
## 2271 7.0 18167 223
## 2272 7.0 18093 239
## 2273 7.2 19577 249
## 2274 7.0 18702 243
## 2275 7.2 18631 235
## 2276 6.8 16984 225
## 2277 6.8 17589 220
## 2278 6.8 17643 240
## 2279 7.2 19744 235
## 2280 7.2 19471 239
## 2281 6.8 17833 223
## 2282 6.6 17241 208
## 2283 6.8 16417 209
## 2284 7.0 18237 223
## 2285 7.0 18533 212
## 2286 7.2 19055 236
## 2287 7.4 19187 227
## 2288 7.0 18672 217
## 2289 7.6 20156 213
## 2290 6.6 16692 209
## 2291 6.6 17147 204
## 2292 6.6 16726 208
## 2293 6.6 17765 230
## 2294 7.2 19120 243
## 2295 7.4 19267 260
## 2296 7.2 18584 189
## 2297 6.8 18295 238
## 2298 6.8 16634 200
## 2299 7.4 18801 215
## 2300 7.0 17990 225
## 2301 7.2 18969 253
## 2302 6.6 16569 182
## 2303 6.8 17413 202
## 2304 6.8 18148 193
## 2305 7.0 18127 201
## 2306 7.2 19661 225
## 2307 7.2 19940 251
## 2308 6.8 17530 214
## 2309 7.0 18589 237
## 2310 7.0 17825 238
## 2311 6.8 17791 166
## 2312 6.8 18031 229
## 2313 7.2 19128 222
## 2314 7.0 18332 244
## 2315 7.0 17693 204
## 2316 7.2 18236 230
## 2317 6.4 15867 197
## 2318 6.6 16249 205
## 2319 6.6 17241 205
## 2320 7.2 19085 255
## 2321 7.2 19623 239
## 2322 7.4 18921 238
## 2323 6.8 18253 242
## 2324 7.0 17489 216
## 2325 7.0 18768 234
## 2326 6.8 16815 218
## 2327 7.0 17680 174
## 2328 7.2 18744 238
## 2329 6.6 16179 202
## 2330 7.4 18988 245
## 2331 6.8 16766 212
## 2332 6.8 17826 208
## 2333 7.2 19035 248
## 2334 7.2 19026 224
## 2335 6.8 18018 204
## 2336 7.0 17733 217
## 2337 6.8 17550 237
## 2338 7.6 20776 236
## 2339 6.8 16605 185
## 2340 6.4 16871 234
## 2341 6.2 14981 170
## 2342 7.4 19815 220
## 2343 6.8 16516 178
## 2344 6.6 16616 185
## 2345 6.8 18139 231
## 2346 7.0 17594 182
## 2347 6.8 18015 259
## 2348 6.6 17358 218
## 2349 7.2 18885 224
## 2350 7.0 17649 212
## 2351 7.2 19344 216
## 2352 7.0 18010 223
## 2353 6.8 18095 205
## 2354 6.8 17448 224
## 2355 7.0 18549 239
## 2356 7.4 19751 257
## 2357 7.4 19538 259
## 2358 7.2 19176 232
## 2359 6.8 17754 219
## 2360 7.2 18189 184
## 2361 7.2 18419 212
## 2362 6.8 17099 191
## 2363 6.8 16938 196
## 2364 6.6 16043 177
## 2365 7.2 19342 245
## 2366 7.2 19409 229
## 2367 6.6 17138 214
## 2368 6.8 16682 205
## 2369 6.6 16807 220
## 2370 6.6 16676 197
## 2371 7.0 18293 209
## 2372 7.2 18185 219
## 2373 7.4 20086 233
## 2374 7.0 17824 243
## 2375 7.2 18227 209
## 2376 6.8 17418 235
## 2377 7.2 19208 238
## 2378 7.0 18289 220
## 2379 7.0 18833 214
## 2380 6.8 17516 205
## 2381 6.8 17394 252
## 2382 6.8 18356 225
## 2383 7.0 18187 222
## 2384 7.0 18219 170
## 2385 6.4 16308 233
## 2386 7.0 17699 226
## 2387 7.4 19482 228
## 2388 6.8 16639 187
## 2389 7.0 17851 218
## 2390 7.2 18881 225
## 2391 6.8 17020 164
## 2392 6.2 14838 207
## 2393 7.0 18919 219
## 2394 6.6 17067 225
## 2395 6.6 16068 185
## 2396 7.0 17630 243
## 2397 6.4 15682 208
## 2398 6.8 18412 229
## 2399 7.2 19043 228
## 2400 7.4 20451 215
## 2401 6.4 16485 172
## 2402 7.0 18093 206
## 2403 7.0 18044 212
## 2404 7.0 17744 211
## 2405 7.0 17995 238
## 2406 6.6 17402 215
## 2407 7.2 18689 253
## 2408 7.0 17788 234
## 2409 6.6 16495 190
## 2410 7.2 18384 235
## 2411 6.6 16699 223
## 2412 7.6 20444 240
## 2413 7.0 17747 189
## 2414 6.4 16190 201
## 2415 7.2 19331 260
## 2416 7.0 17996 191
## 2417 7.0 18775 237
## 2418 6.8 16517 184
## 2419 6.6 16465 220
## 2420 7.0 18365 247
## 2421 6.8 17507 216
## 2422 6.8 17521 218
## 2423 7.4 20129 234
## 2424 6.6 17106 224
## 2425 6.8 17414 196
## 2426 6.6 17022 203
## 2427 6.8 18353 243
## 2428 6.4 15808 211
## 2429 7.2 18218 237
## 2430 6.4 15569 194
## 2431 7.0 18364 210
## 2432 6.8 17526 214
## 2433 6.8 17201 233
## 2434 7.0 17836 223
## 2435 7.0 18203 236
## 2436 7.2 19216 216
## 2437 7.0 18123 228
## 2438 7.2 18556 226
## 2439 6.4 16413 199
## 2440 7.2 19708 256
## 2441 7.0 19360 236
## 2442 6.8 17768 186
## 2443 7.0 17474 213
## 2444 6.6 17241 218
## 2445 6.6 16936 218
## 2446 6.6 16525 224
## 2447 6.6 16836 209
## 2448 6.8 17352 240
## 2449 7.2 18246 255
## 2450 6.8 18025 162
## 2451 6.8 17142 215
## 2452 6.8 17658 240
## 2453 6.8 17932 232
## 2454 6.4 16578 202
## 2455 6.8 18264 223
## 2456 7.0 18443 186
## 2457 6.8 17019 209
## 2458 7.0 18026 248
## 2459 6.8 17645 225
## 2460 6.8 17538 203
## 2461 7.0 18352 231
## 2462 6.2 15760 197
## 2463 6.2 15091 154
## 2464 6.6 16638 185
## 2465 7.2 18857 213
## 2466 7.0 18279 201
## 2467 7.2 18317 239
## 2468 7.2 19060 215
## 2469 6.8 18580 210
## 2470 7.0 18438 258
## 2471 6.6 16927 217
## 2472 7.2 18398 217
## 2473 7.4 20059 243
## 2474 7.0 18103 236
## 2475 7.8 20864 193
## 2476 6.8 17353 188
## 2477 7.0 18379 263
## 2478 7.2 19425 239
## 2479 7.2 19192 228
## 2480 6.8 17442 210
## 2481 6.8 16551 217
## 2482 6.8 17680 215
## 2483 6.8 17245 208
## 2484 6.6 16719 192
## 2485 7.6 21331 254
## 2486 6.6 16645 180
## 2487 6.6 16567 210
## 2488 7.2 18525 217
## 2489 7.2 19204 234
## 2490 6.6 16174 186
## 2491 7.2 18985 229
## 2492 7.6 19555 225
## 2493 6.6 16828 212
## 2494 6.8 17444 217
## 2495 7.2 18645 210
## 2496 7.0 18578 214
## 2497 6.4 16457 209
## 2498 6.8 17286 212
## 2499 7.0 18287 240
## redTotalJungleMinionsKilled redGoldDiff redExperienceDiff redCSPerMin
## 1 55 -643 8 19.7
## 2 52 2908 1173 24.0
## 3 28 1172 1033 20.3
## 4 47 1321 7 23.5
## 5 67 1004 -230 22.5
## 6 59 -698 -101 22.1
## 7 35 -2411 -1563 16.4
## 8 54 2615 800 15.7
## 9 53 1979 771 24.0
## 10 43 1548 1574 24.7
## 11 51 -331 1585 21.6
## 12 52 1505 635 18.8
## 13 50 -3274 -1659 24.0
## 14 51 3414 1141 22.9
## 15 48 470 187 24.2
## 16 51 1996 1804 23.7
## 17 64 -5228 -3378 21.0
## 18 53 1975 1345 21.8
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## 1909 56 833 773 19.7
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## 1911 44 -2862 -3250 22.3
## 1912 48 1449 -313 26.4
## 1913 71 -2010 -1365 22.6
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## 1917 72 616 1349 23.2
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## 1978 52 -848 -129 19.2
## 1979 74 5800 3960 24.5
## 1980 42 -981 -42 19.7
## 1981 64 2642 1908 25.8
## 1982 56 794 1320 22.8
## 1983 61 718 1666 21.5
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## 1986 51 -2625 -1026 20.7
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## 1988 60 -2450 -216 17.4
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## 1990 48 645 2890 20.2
## 1991 48 -3307 -1705 19.5
## 1992 42 -2457 -255 17.5
## 1993 71 852 2912 20.3
## 1994 52 2153 2381 21.5
## 1995 53 3938 2767 21.8
## 1996 60 449 83 20.2
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## 1998 44 0 -845 23.4
## 1999 49 1198 768 20.9
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## 2001 28 1632 1461 21.2
## 2002 52 3472 2256 23.0
## 2003 53 -3497 -3543 22.3
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## 2005 46 4197 2772 22.8
## 2006 53 -841 1456 24.6
## 2007 37 -742 654 25.5
## 2008 60 -3087 -2543 22.5
## 2009 56 2066 -3 20.0
## 2010 40 3275 3254 25.7
## 2011 64 -1337 -885 19.9
## 2012 52 -1258 124 22.0
## 2013 47 1186 892 21.5
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## 2015 39 -2086 -1202 18.9
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## 2017 40 732 813 21.8
## 2018 64 -1481 -528 19.5
## 2019 58 1613 836 21.7
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## redGoldPerMin
## 1 1656.7
## 2 1762.0
## 3 1728.5
## 4 1647.8
## 5 1740.4
## 6 1520.1
## 7 1446.3
## 8 1792.0
## 9 1838.0
## 10 1660.5
## 11 1514.3
## 12 1820.0
## 13 1459.1
## 14 1839.3
## 15 1619.2
## 16 1701.1
## 17 1450.5
## 18 1682.7
## 19 1540.0
## 20 1814.9
## 21 1608.0
## 22 1871.3
## 23 1702.7
## 24 1550.0
## 25 1753.5
## 26 1788.7
## 27 1591.8
## 28 1536.9
## 29 1615.4
## 30 1818.7
## 31 1524.9
## 32 1435.0
## 33 1583.0
## 34 1556.3
## 35 1581.0
## 36 1579.0
## 37 1819.2
## 38 1739.5
## 39 1843.2
## 40 1671.5
## 41 1850.8
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## 43 1537.1
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## 45 1587.2
## 46 1931.1
## 47 1415.4
## 48 1559.9
## 49 1495.5
## 50 1665.9
## 51 1803.3
## 52 1604.6
## 53 1435.6
## 54 1495.9
## 55 1516.6
## 56 1835.0
## 57 1725.9
## 58 1657.6
## 59 1653.4
## 60 1564.5
## 61 1605.3
## 62 1655.4
## 63 1559.0
## 64 1433.6
## 65 1822.7
## 66 2037.6
## 67 1688.5
## 68 1607.4
## 69 1658.0
## 70 1588.7
## 71 1849.1
## 72 1471.4
## 73 1420.5
## 74 1645.0
## 75 1549.4
## 76 1478.5
## 77 1634.8
## 78 1536.0
## 79 1850.5
## 80 1571.1
## 81 1612.0
## 82 1710.7
## 83 1604.6
## 84 1727.2
## 85 1723.0
## 86 1446.7
## 87 1592.4
## 88 1751.5
## 89 1593.3
## 90 1868.0
## 91 1934.4
## 92 1632.6
## 93 1410.2
## 94 1568.4
## 95 1800.3
## 96 1804.5
## 97 1478.9
## 98 1718.0
## 99 1654.4
## 100 1690.7
## 101 1714.7
## 102 1631.1
## 103 1634.5
## 104 1480.0
## 105 1846.1
## 106 1559.0
## 107 2022.9
## 108 1607.0
## 109 1588.4
## 110 1523.9
## 111 1680.8
## 112 1842.2
## 113 1669.2
## 114 2072.1
## 115 1564.5
## 116 1706.2
## 117 1846.3
## 118 1556.4
## 119 1772.3
## 120 1603.5
## 121 1788.1
## 122 1843.9
## 123 1753.7
## 124 1674.8
## 125 1881.4
## 126 1723.3
## 127 1939.5
## 128 1513.2
## 129 1651.3
## 130 1552.9
## 131 1446.9
## 132 1557.2
## 133 1589.7
## 134 1671.5
## 135 1690.3
## 136 1680.6
## 137 1668.7
## 138 1457.4
## 139 1548.4
## 140 1527.3
## 141 1693.9
## 142 1916.0
## 143 1626.6
## 144 1686.6
## 145 1510.1
## 146 1551.7
## 147 1774.0
## 148 1796.1
## 149 1746.1
## 150 1481.4
## 151 1441.3
## 152 1612.0
## 153 1669.8
## 154 1804.8
## 155 1925.1
## 156 1744.7
## 157 1595.9
## 158 1556.5
## 159 1813.9
## 160 1638.4
## 161 1458.9
## 162 1588.1
## 163 1529.4
## 164 1590.1
## 165 1448.7
## 166 1600.0
## 167 1786.2
## 168 1655.6
## 169 1649.2
## 170 1413.2
## 171 1662.1
## 172 1564.7
## 173 1657.1
## 174 1628.4
## 175 1947.9
## 176 1666.4
## 177 1575.4
## 178 1860.5
## 179 1588.0
## 180 1802.3
## 181 1719.2
## 182 1609.6
## 183 1460.5
## 184 1463.9
## 185 1800.1
## 186 1746.5
## 187 1687.8
## 188 1739.6
## 189 1381.7
## 190 1882.8
## 191 1686.6
## 192 1720.6
## 193 1416.4
## 194 1630.7
## 195 1834.4
## 196 1513.5
## 197 1803.0
## 198 1558.8
## 199 1705.2
## 200 1606.2
## 201 1684.0
## 202 1512.4
## 203 1655.3
## 204 1629.8
## 205 1988.7
## 206 1720.0
## 207 2109.3
## 208 1764.0
## 209 1601.6
## 210 1423.7
## 211 1546.9
## 212 1724.4
## 213 1374.0
## 214 1675.4
## 215 1627.0
## 216 1448.9
## 217 1628.5
## 218 1520.9
## 219 1766.0
## 220 1469.3
## 221 1557.1
## 222 1684.6
## 223 1489.7
## 224 1589.2
## 225 1604.5
## 226 1642.7
## 227 1614.3
## 228 1532.8
## 229 1631.2
## 230 1397.4
## 231 1710.1
## 232 1584.1
## 233 1540.8
## 234 1518.6
## 235 1740.2
## 236 1706.5
## 237 1678.2
## 238 1499.2
## 239 1684.9
## 240 1812.8
## 241 1811.2
## 242 1394.6
## 243 1562.2
## 244 1759.5
## 245 1691.7
## 246 1514.2
## 247 1669.2
## 248 1529.3
## 249 1534.9
## 250 1821.7
## 251 1666.2
## 252 1751.7
## 253 1747.5
## 254 1612.9
## 255 1504.1
## 256 1564.7
## 257 1428.4
## 258 1731.7
## 259 1443.6
## 260 1687.6
## 261 1626.7
## 262 1521.2
## 263 1759.7
## 264 1937.8
## 265 1570.0
## 266 1576.7
## 267 1853.8
## 268 1433.2
## 269 1854.7
## 270 1867.8
## 271 1642.2
## 272 1636.2
## 273 1781.5
## 274 1710.3
## 275 1517.1
## 276 1431.7
## 277 1786.7
## 278 1648.2
## 279 1849.9
## 280 1743.6
## 281 1469.1
## 282 1538.3
## 283 1618.2
## 284 1732.8
## 285 1488.4
## 286 1630.6
## 287 1830.8
## 288 1509.8
## 289 1577.1
## 290 1646.1
## 291 1938.4
## 292 1815.2
## 293 1624.6
## 294 1501.5
## 295 1578.5
## 296 1540.7
## 297 1667.6
## 298 1715.7
## 299 1609.3
## 300 1614.5
## 301 1738.2
## 302 1695.8
## 303 1494.9
## 304 1600.7
## 305 1475.9
## 306 1717.3
## 307 1560.8
## 308 1863.5
## 309 1544.9
## 310 1501.5
## 311 1402.4
## 312 1618.5
## 313 1433.8
## 314 1423.3
## 315 1753.8
## 316 1983.8
## 317 1682.0
## 318 1959.7
## 319 1594.7
## 320 1747.1
## 321 1838.1
## 322 1728.9
## 323 1675.7
## 324 1764.2
## 325 1495.2
## 326 1727.5
## 327 1548.3
## 328 1623.5
## 329 1332.9
## 330 1872.8
## 331 1506.3
## 332 1639.2
## 333 1841.5
## 334 1666.7
## 335 1562.8
## 336 1663.9
## 337 1641.4
## 338 1629.3
## 339 1577.2
## 340 1681.0
## 341 1625.3
## 342 1826.0
## 343 1715.4
## 344 1617.8
## 345 1511.0
## 346 1465.5
## 347 1446.6
## 348 1805.9
## 349 1779.8
## 350 1667.6
## 351 1744.9
## 352 1625.9
## 353 1522.7
## 354 1476.3
## 355 1834.5
## 356 1607.0
## 357 1447.1
## 358 1753.6
## 359 1515.2
## 360 1693.2
## 361 1665.5
## 362 1510.4
## 363 1766.2
## 364 1793.8
## 365 1779.9
## 366 1579.6
## 367 1397.9
## 368 1698.2
## 369 1526.4
## 370 1683.9
## 371 1558.3
## 372 1824.1
## 373 1909.6
## 374 1704.3
## 375 1506.5
## 376 1931.5
## 377 1580.4
## 378 1741.4
## 379 1624.1
## 380 1787.9
## 381 1415.5
## 382 1722.6
## 383 1496.6
## 384 1467.3
## 385 1595.2
## 386 1779.7
## 387 1537.6
## 388 1378.0
## 389 1583.0
## 390 1537.4
## 391 1477.6
## 392 1977.3
## 393 1564.7
## 394 1906.8
## 395 1833.9
## 396 1548.5
## 397 1733.4
## 398 1421.1
## 399 1771.8
## 400 1583.3
## 401 1891.5
## 402 1821.9
## 403 1488.9
## 404 1991.3
## 405 1660.4
## 406 1847.8
## 407 1636.7
## 408 1371.7
## 409 1487.1
## 410 1681.3
## 411 1702.0
## 412 1559.9
## 413 1632.6
## 414 1455.3
## 415 1588.4
## 416 1827.0
## 417 1670.2
## 418 1702.0
## 419 1439.3
## 420 1862.6
## 421 1479.2
## 422 1635.6
## 423 1591.7
## 424 1527.6
## 425 2110.3
## 426 1716.9
## 427 1574.0
## 428 1452.0
## 429 1620.9
## 430 1727.1
## 431 1684.6
## 432 1656.2
## 433 1736.7
## 434 1894.0
## 435 1392.5
## 436 1486.4
## 437 1603.3
## 438 1581.9
## 439 1651.9
## 440 1704.0
## 441 1472.8
## 442 1639.1
## 443 1539.3
## 444 1664.3
## 445 1799.3
## 446 1656.8
## 447 1470.2
## 448 1604.1
## 449 1744.7
## 450 1849.0
## 451 1445.8
## 452 1510.5
## 453 1555.3
## 454 1628.2
## 455 1648.3
## 456 1514.8
## 457 1610.4
## 458 1705.2
## 459 1785.2
## 460 1556.5
## 461 1708.1
## 462 1465.2
## 463 1784.0
## 464 1742.3
## 465 1545.3
## 466 1577.1
## 467 1528.0
## 468 1626.1
## 469 1419.6
## 470 1824.2
## 471 1762.8
## 472 1807.4
## 473 1734.1
## 474 2020.2
## 475 1890.6
## 476 1416.9
## 477 1425.2
## 478 1852.8
## 479 1673.9
## 480 1664.1
## 481 1646.4
## 482 1789.8
## 483 1724.2
## 484 1706.4
## 485 1487.1
## 486 1850.1
## 487 1725.8
## 488 1623.3
## 489 1462.5
## 490 1571.1
## 491 1483.7
## 492 1540.1
## 493 1601.0
## 494 1795.6
## 495 1918.9
## 496 1541.9
## 497 1697.1
## 498 1567.4
## 499 1468.4
## 500 1542.1
## 501 1617.5
## 502 1503.4
## 503 1615.0
## 504 1842.6
## 505 1576.0
## 506 1667.6
## 507 1516.7
## 508 1773.5
## 509 1479.1
## 510 1448.8
## 511 1656.6
## 512 1660.5
## 513 1685.0
## 514 1683.9
## 515 1459.9
## 516 1761.0
## 517 1779.8
## 518 1298.8
## 519 1722.8
## 520 1744.9
## 521 1660.9
## 522 1572.6
## 523 1688.8
## 524 1653.7
## 525 1794.5
## 526 1551.7
## 527 1659.8
## 528 1576.5
## 529 1772.6
## 530 1422.0
## 531 1507.8
## 532 2105.6
## 533 1632.7
## 534 1700.7
## 535 1749.8
## 536 1655.3
## 537 1539.7
## 538 1707.9
## 539 1674.0
## 540 1868.3
## 541 1350.9
## 542 1442.2
## 543 1701.1
## 544 1680.5
## 545 1614.3
## 546 1835.8
## 547 1360.3
## 548 1617.3
## 549 1470.7
## 550 1643.3
## 551 1480.2
## 552 1542.9
## 553 1691.0
## 554 1975.1
## 555 1763.4
## 556 1331.0
## 557 1515.6
## 558 1724.8
## 559 1706.3
## 560 1730.6
## 561 1787.6
## 562 2018.9
## 563 1540.5
## 564 1625.9
## 565 1628.3
## 566 1670.6
## 567 1491.0
## 568 1523.7
## 569 1735.7
## 570 1589.6
## 571 1822.0
## 572 1711.1
## 573 1562.5
## 574 1508.2
## 575 1434.8
## 576 1524.5
## 577 1709.3
## 578 1467.4
## 579 1711.3
## 580 1693.1
## 581 1640.7
## 582 1477.9
## 583 1567.8
## 584 1847.7
## 585 1730.0
## 586 1629.8
## 587 1470.1
## 588 1748.6
## 589 1863.8
## 590 1699.4
## 591 1521.9
## 592 1802.2
## 593 1470.3
## 594 1770.5
## 595 1379.4
## 596 1646.6
## 597 1512.2
## 598 1537.4
## 599 1577.3
## 600 1535.2
## 601 1590.3
## 602 1693.9
## 603 1770.8
## 604 1505.0
## 605 1463.4
## 606 1505.1
## 607 1695.6
## 608 1678.2
## 609 1677.5
## 610 1488.6
## 611 1412.3
## 612 1736.8
## 613 1653.1
## 614 1649.9
## 615 1798.8
## 616 1499.6
## 617 1568.9
## 618 1649.0
## 619 1693.4
## 620 1639.3
## 621 1820.8
## 622 1838.0
## 623 1665.4
## 624 1656.6
## 625 2077.4
## 626 1693.1
## 627 1517.1
## 628 1704.5
## 629 1681.1
## 630 1512.6
## 631 1623.2
## 632 1558.0
## 633 1602.3
## 634 1811.4
## 635 1621.5
## 636 1650.9
## 637 1616.9
## 638 1598.3
## 639 1861.8
## 640 1847.4
## 641 1768.5
## 642 1729.4
## 643 1614.6
## 644 1540.8
## 645 1952.5
## 646 1905.1
## 647 1378.2
## 648 1520.9
## 649 1588.7
## 650 1720.9
## 651 1556.8
## 652 1841.3
## 653 1740.5
## 654 1702.5
## 655 1856.9
## 656 1681.9
## 657 1531.9
## 658 1653.5
## 659 1502.1
## 660 1378.8
## 661 1611.6
## 662 1629.3
## 663 1474.6
## 664 1649.3
## 665 1364.1
## 666 1710.4
## 667 1553.8
## 668 1626.5
## 669 1876.8
## 670 2023.9
## 671 1581.9
## 672 1893.7
## 673 1621.8
## 674 1531.5
## 675 1549.9
## 676 1557.0
## 677 1627.5
## 678 1488.1
## 679 1751.0
## 680 1877.9
## 681 1562.0
## 682 1687.2
## 683 1590.1
## 684 1834.8
## 685 1514.0
## 686 1834.7
## 687 1817.8
## 688 1680.8
## 689 1585.8
## 690 1973.1
## 691 1706.2
## 692 1673.1
## 693 1568.9
## 694 1783.6
## 695 1769.6
## 696 1627.7
## 697 1654.6
## 698 1641.7
## 699 1805.5
## 700 1608.5
## 701 1904.9
## 702 1431.2
## 703 1359.6
## 704 1586.7
## 705 1608.0
## 706 1754.2
## 707 1591.6
## 708 1813.7
## 709 1506.0
## 710 1723.0
## 711 1801.2
## 712 1612.3
## 713 1666.7
## 714 1777.0
## 715 1701.7
## 716 1905.8
## 717 1523.3
## 718 1601.6
## 719 1781.3
## 720 1519.5
## 721 1455.4
## 722 1399.0
## 723 1607.2
## 724 1860.1
## 725 1670.9
## 726 1441.5
## 727 1379.5
## 728 1606.1
## 729 1648.1
## 730 1573.5
## 731 1642.2
## 732 1705.7
## 733 1634.6
## 734 1810.4
## 735 1553.9
## 736 1727.2
## 737 1765.8
## 738 1793.1
## 739 1719.3
## 740 1592.8
## 741 1606.7
## 742 1666.5
## 743 1659.6
## 744 1673.3
## 745 1675.0
## 746 1689.8
## 747 1738.2
## 748 1626.2
## 749 1918.2
## 750 1829.6
## 751 1564.1
## 752 1894.4
## 753 1612.7
## 754 1526.4
## 755 1576.0
## 756 1711.7
## 757 1600.9
## 758 1954.9
## 759 1673.0
## 760 1684.6
## 761 1527.9
## 762 1647.9
## 763 1859.1
## 764 1778.3
## 765 1903.1
## 766 1490.3
## 767 1618.6
## 768 1654.5
## 769 1454.9
## 770 1552.2
## 771 1697.2
## 772 1578.1
## 773 1773.3
## 774 1632.0
## 775 1731.8
## 776 1687.3
## 777 1765.5
## 778 1756.9
## 779 1656.1
## 780 1529.1
## 781 1541.5
## 782 1471.7
## 783 1487.2
## 784 1620.4
## 785 1596.3
## 786 1513.2
## 787 1779.4
## 788 1538.2
## 789 1663.8
## 790 1570.0
## 791 1575.9
## 792 1543.1
## 793 1753.5
## 794 1582.8
## 795 1620.0
## 796 1719.5
## 797 1511.3
## 798 1402.9
## 799 1646.4
## 800 1684.0
## 801 1705.2
## 802 1750.2
## 803 1785.5
## 804 1533.4
## 805 1690.5
## 806 1734.2
## 807 1922.5
## 808 1586.0
## 809 1564.1
## 810 1773.4
## 811 1405.3
## 812 1578.3
## 813 1793.2
## 814 1637.0
## 815 1856.7
## 816 1567.4
## 817 1518.6
## 818 1350.1
## 819 2095.6
## 820 1596.7
## 821 1641.1
## 822 1690.9
## 823 1693.2
## 824 1598.0
## 825 1352.8
## 826 1360.0
## 827 1768.6
## 828 1737.0
## 829 1499.6
## 830 1939.1
## 831 1889.8
## 832 1602.8
## 833 1851.9
## 834 1752.1
## 835 1519.0
## 836 1661.3
## 837 1611.7
## 838 1602.2
## 839 1685.5
## 840 1465.6
## 841 1715.2
## 842 1699.8
## 843 1504.2
## 844 1670.3
## 845 1569.4
## 846 1505.0
## 847 1641.3
## 848 1503.0
## 849 1437.1
## 850 1755.5
## 851 1533.3
## 852 1970.5
## 853 1552.0
## 854 1614.5
## 855 1749.0
## 856 1620.6
## 857 1825.2
## 858 1366.4
## 859 1572.5
## 860 1618.2
## 861 1624.4
## 862 1657.0
## 863 1535.4
## 864 1652.9
## 865 1608.1
## 866 1714.9
## 867 1664.2
## 868 1553.5
## 869 1667.7
## 870 1527.6
## 871 1733.0
## 872 1621.3
## 873 1339.9
## 874 1624.8
## 875 1441.1
## 876 1631.4
## 877 1633.8
## 878 1483.6
## 879 2072.0
## 880 1520.3
## 881 1654.9
## 882 1537.9
## 883 1727.9
## 884 1707.9
## 885 1779.0
## 886 1620.6
## 887 1578.8
## 888 1727.1
## 889 1553.1
## 890 1662.0
## 891 1621.9
## 892 1813.0
## 893 1660.3
## 894 1608.8
## 895 1586.0
## 896 1806.2
## 897 1872.7
## 898 1852.0
## 899 1824.4
## 900 1714.3
## 901 1457.3
## 902 1729.9
## 903 1743.5
## 904 1709.7
## 905 1416.0
## 906 1600.2
## 907 1706.5
## 908 1684.9
## 909 1596.2
## 910 1409.7
## 911 1719.9
## 912 1711.0
## 913 1749.5
## 914 1769.9
## 915 1651.3
## 916 1614.8
## 917 1630.1
## 918 1715.5
## 919 1982.7
## 920 1806.9
## 921 1522.1
## 922 1680.4
## 923 1544.4
## 924 1603.5
## 925 1624.0
## 926 1872.1
## 927 1704.5
## 928 1506.3
## 929 2160.9
## 930 1618.4
## 931 1480.2
## 932 1804.6
## 933 1561.6
## 934 1330.9
## 935 1678.8
## 936 1554.7
## 937 1669.8
## 938 1723.4
## 939 1786.0
## 940 1443.8
## 941 1632.5
## 942 1592.4
## 943 1732.1
## 944 1512.9
## 945 1484.7
## 946 1645.2
## 947 1614.5
## 948 1852.6
## 949 1557.4
## 950 1785.9
## 951 1645.1
## 952 1560.1
## 953 1557.7
## 954 1549.6
## 955 1719.2
## 956 1800.6
## 957 1712.7
## 958 1608.9
## 959 1657.9
## 960 1685.0
## 961 1795.7
## 962 1856.5
## 963 1458.2
## 964 1692.9
## 965 1485.8
## 966 1918.4
## 967 1843.8
## 968 1715.6
## 969 1697.2
## 970 1999.7
## 971 1629.5
## 972 1476.2
## 973 1655.7
## 974 1685.4
## 975 2137.3
## 976 1830.7
## 977 1944.4
## 978 1422.2
## 979 1951.8
## 980 1495.2
## 981 1537.2
## 982 2064.8
## 983 1699.7
## 984 1864.2
## 985 1655.4
## 986 1480.0
## 987 1802.3
## 988 1616.8
## 989 1369.1
## 990 1638.9
## 991 1431.3
## 992 1574.3
## 993 1610.9
## 994 1694.7
## 995 1902.0
## 996 2240.2
## 997 1613.2
## 998 1643.9
## 999 1677.8
## 1000 1821.1
## 1001 1644.4
## 1002 1614.4
## 1003 1940.7
## 1004 1804.2
## 1005 1738.1
## 1006 1657.7
## 1007 1467.7
## 1008 1596.1
## 1009 1566.5
## 1010 1604.6
## 1011 1647.0
## 1012 1549.8
## 1013 1631.0
## 1014 1684.4
## 1015 1495.4
## 1016 1864.0
## 1017 1943.0
## 1018 1464.2
## 1019 1409.4
## 1020 1659.0
## 1021 1728.6
## 1022 1636.0
## 1023 1683.0
## 1024 1622.6
## 1025 1658.3
## 1026 1785.3
## 1027 1798.6
## 1028 1690.4
## 1029 1922.9
## 1030 1638.9
## 1031 1781.6
## 1032 1599.9
## 1033 1630.4
## 1034 1558.3
## 1035 1987.6
## 1036 1602.4
## 1037 1592.2
## 1038 2156.1
## 1039 1832.8
## 1040 1539.7
## 1041 1678.1
## 1042 1638.2
## 1043 1603.7
## 1044 1815.0
## 1045 1686.0
## 1046 1644.3
## 1047 1827.3
## 1048 1595.0
## 1049 1660.6
## 1050 1660.6
## 1051 1718.6
## 1052 1754.1
## 1053 1464.4
## 1054 1478.7
## 1055 1605.8
## 1056 1447.0
## 1057 1533.7
## 1058 1577.3
## 1059 1611.2
## 1060 1657.0
## 1061 1992.8
## 1062 1697.5
## 1063 1606.9
## 1064 1641.9
## 1065 1514.3
## 1066 1422.3
## 1067 1422.3
## 1068 1789.5
## 1069 1651.2
## 1070 1480.6
## 1071 1584.3
## 1072 1832.8
## 1073 1906.5
## 1074 1700.4
## 1075 1657.5
## 1076 1668.8
## 1077 1664.0
## 1078 1375.8
## 1079 1840.9
## 1080 1727.2
## 1081 1580.1
## 1082 1787.1
## 1083 1593.7
## 1084 1516.8
## 1085 1552.0
## 1086 1380.6
## 1087 1659.0
## 1088 1708.8
## 1089 1809.7
## 1090 1734.2
## 1091 1595.5
## 1092 1504.0
## 1093 1540.4
## 1094 1765.8
## 1095 1955.5
## 1096 1725.5
## 1097 1469.7
## 1098 1664.4
## 1099 1717.8
## 1100 1600.6
## 1101 1642.7
## 1102 1430.6
## 1103 1922.1
## 1104 1623.9
## 1105 1752.0
## 1106 1635.2
## 1107 1653.6
## 1108 1516.1
## 1109 1492.3
## 1110 1611.6
## 1111 1855.1
## 1112 1662.6
## 1113 1569.8
## 1114 1604.8
## 1115 1884.4
## 1116 1466.6
## 1117 1460.2
## 1118 1720.7
## 1119 1716.9
## 1120 1749.9
## 1121 1555.2
## 1122 1611.7
## 1123 1514.5
## 1124 1475.6
## 1125 1535.5
## 1126 2026.5
## 1127 1634.9
## 1128 1610.2
## 1129 2024.0
## 1130 1730.9
## 1131 1740.4
## 1132 1536.9
## 1133 1617.8
## 1134 1810.2
## 1135 1485.1
## 1136 1512.6
## 1137 1851.9
## 1138 1751.7
## 1139 1480.9
## 1140 1621.9
## 1141 1537.1
## 1142 1532.0
## 1143 1476.8
## 1144 1443.9
## 1145 1651.0
## 1146 1544.2
## 1147 1720.0
## 1148 1689.1
## 1149 1456.6
## 1150 1451.4
## 1151 1737.4
## 1152 1601.4
## 1153 1357.0
## 1154 1521.5
## 1155 1618.7
## 1156 1363.4
## 1157 1638.7
## 1158 1489.4
## 1159 1578.6
## 1160 1540.8
## 1161 1474.9
## 1162 1593.8
## 1163 1580.7
## 1164 1842.9
## 1165 1655.2
## 1166 1612.1
## 1167 1609.8
## 1168 1785.9
## 1169 1665.3
## 1170 1683.8
## 1171 1578.2
## 1172 1715.8
## 1173 1758.9
## 1174 1892.5
## 1175 1793.5
## 1176 1717.6
## 1177 1732.1
## 1178 1707.9
## 1179 1757.0
## 1180 1625.4
## 1181 1407.0
## 1182 1505.3
## 1183 1564.5
## 1184 1640.6
## 1185 1795.2
## 1186 1623.4
## 1187 1889.1
## 1188 1581.6
## 1189 1930.6
## 1190 1685.0
## 1191 1562.1
## 1192 1559.0
## 1193 1879.7
## 1194 1730.0
## 1195 1409.7
## 1196 1805.8
## 1197 1511.7
## 1198 1559.5
## 1199 1731.5
## 1200 1672.6
## 1201 1297.6
## 1202 1453.7
## 1203 1437.4
## 1204 1461.7
## 1205 1846.4
## 1206 1828.2
## 1207 1569.4
## 1208 1842.4
## 1209 1841.7
## 1210 1678.7
## 1211 1577.7
## 1212 1522.3
## 1213 1800.1
## 1214 1483.8
## 1215 1588.0
## 1216 1594.2
## 1217 1426.7
## 1218 1781.6
## 1219 1674.7
## 1220 1602.5
## 1221 1712.1
## 1222 1691.2
## 1223 1403.7
## 1224 1445.1
## 1225 1779.1
## 1226 1611.5
## 1227 1505.3
## 1228 1524.4
## 1229 1638.1
## 1230 1300.1
## 1231 1597.0
## 1232 1559.4
## 1233 1737.6
## 1234 1582.7
## 1235 1760.3
## 1236 1702.0
## 1237 1678.9
## 1238 1548.9
## 1239 1921.9
## 1240 1541.4
## 1241 1685.9
## 1242 1595.0
## 1243 1444.0
## 1244 1855.3
## 1245 1725.2
## 1246 1566.1
## 1247 1734.3
## 1248 1488.5
## 1249 1677.7
## 1250 1777.0
## 1251 1505.7
## 1252 1467.0
## 1253 1735.8
## 1254 1890.3
## 1255 1489.5
## 1256 1697.3
## 1257 1631.3
## 1258 1652.0
## 1259 1543.9
## 1260 1927.7
## 1261 1848.1
## 1262 1755.0
## 1263 1425.6
## 1264 2024.4
## 1265 1387.6
## 1266 1475.1
## 1267 1606.4
## 1268 1595.3
## 1269 1609.6
## 1270 1483.1
## 1271 1882.8
## 1272 1519.2
## 1273 1671.2
## 1274 1712.7
## 1275 1654.1
## 1276 1652.6
## 1277 1684.0
## 1278 1855.9
## 1279 1451.2
## 1280 1488.0
## 1281 1848.8
## 1282 1716.1
## 1283 1619.2
## 1284 1482.5
## 1285 1437.9
## 1286 2008.0
## 1287 1573.7
## 1288 1499.1
## 1289 1665.1
## 1290 1560.8
## 1291 1802.7
## 1292 1579.1
## 1293 1687.4
## 1294 1538.1
## 1295 1822.0
## 1296 1655.8
## 1297 1822.1
## 1298 1757.1
## 1299 1683.2
## 1300 1664.8
## 1301 1621.1
## 1302 1749.2
## 1303 1617.1
## 1304 1603.2
## 1305 1603.8
## 1306 1975.4
## 1307 1749.8
## 1308 1819.8
## 1309 1611.5
## 1310 1672.4
## 1311 1612.6
## 1312 1752.7
## 1313 1584.0
## 1314 1536.2
## 1315 1661.6
## 1316 1462.1
## 1317 1619.9
## 1318 1731.1
## 1319 1865.2
## 1320 1662.1
## 1321 1703.8
## 1322 1459.2
## 1323 1820.1
## 1324 1452.5
## 1325 1937.0
## 1326 1448.9
## 1327 1694.2
## 1328 1441.0
## 1329 1475.1
## 1330 1485.5
## 1331 1571.9
## 1332 1711.8
## 1333 1464.5
## 1334 1738.9
## 1335 1670.1
## 1336 1538.2
## 1337 1758.4
## 1338 1483.0
## 1339 1383.5
## 1340 1901.8
## 1341 1559.7
## 1342 1393.1
## 1343 1370.4
## 1344 1719.7
## 1345 1465.7
## 1346 1596.4
## 1347 1646.0
## 1348 1510.0
## 1349 1641.8
## 1350 1436.8
## 1351 1592.7
## 1352 1568.0
## 1353 1453.2
## 1354 1966.8
## 1355 1658.9
## 1356 1541.4
## 1357 1630.7
## 1358 1711.1
## 1359 1555.6
## 1360 1504.2
## 1361 1708.0
## 1362 1782.2
## 1363 1331.9
## 1364 1641.0
## 1365 1753.5
## 1366 1704.3
## 1367 1732.9
## 1368 1989.8
## 1369 1690.0
## 1370 1609.6
## 1371 1475.7
## 1372 1475.2
## 1373 1789.3
## 1374 1734.4
## 1375 1892.2
## 1376 1991.8
## 1377 1661.0
## 1378 1767.3
## 1379 1733.8
## 1380 1588.7
## 1381 1585.3
## 1382 1719.4
## 1383 1505.5
## 1384 1756.6
## 1385 1336.8
## 1386 1766.7
## 1387 2066.6
## 1388 1618.1
## 1389 1685.2
## 1390 1642.4
## 1391 1709.2
## 1392 1719.4
## 1393 1693.0
## 1394 1911.6
## 1395 1510.0
## 1396 1626.0
## 1397 1698.4
## 1398 1587.8
## 1399 1605.7
## 1400 1928.8
## 1401 1452.0
## 1402 1614.9
## 1403 1643.6
## 1404 1914.5
## 1405 1702.2
## 1406 1688.1
## 1407 1513.6
## 1408 1779.6
## 1409 1628.0
## 1410 1730.2
## 1411 1928.4
## 1412 1788.7
## 1413 1732.7
## 1414 1612.6
## 1415 1530.2
## 1416 1961.8
## 1417 1913.2
## 1418 1676.8
## 1419 1648.4
## 1420 1551.1
## 1421 1680.8
## 1422 1764.8
## 1423 1458.0
## 1424 1469.2
## 1425 1507.1
## 1426 1549.1
## 1427 1856.4
## 1428 1916.8
## 1429 1688.2
## 1430 1584.5
## 1431 1546.6
## 1432 1427.3
## 1433 1468.8
## 1434 1421.7
## 1435 1637.8
## 1436 1483.3
## 1437 1763.4
## 1438 1622.8
## 1439 1596.2
## 1440 1475.2
## 1441 1753.2
## 1442 1681.7
## 1443 1513.4
## 1444 1966.3
## 1445 1697.1
## 1446 1475.6
## 1447 1742.8
## 1448 1486.7
## 1449 1780.6
## 1450 1752.5
## 1451 1546.4
## 1452 1527.9
## 1453 1814.9
## 1454 1680.9
## 1455 1599.1
## 1456 1629.8
## 1457 1738.9
## 1458 1798.4
## 1459 1793.0
## 1460 1568.0
## 1461 1583.1
## 1462 1493.8
## 1463 1442.5
## 1464 1559.9
## 1465 1490.5
## 1466 1633.2
## 1467 1670.9
## 1468 1343.1
## 1469 1570.0
## 1470 1748.3
## 1471 1772.0
## 1472 1617.6
## 1473 1634.5
## 1474 1582.9
## 1475 1518.6
## 1476 1858.0
## 1477 1488.6
## 1478 1695.9
## 1479 1524.3
## 1480 1615.7
## 1481 1665.4
## 1482 1529.3
## 1483 1625.9
## 1484 1502.1
## 1485 1650.4
## 1486 1736.0
## 1487 1485.9
## 1488 1766.3
## 1489 1702.5
## 1490 1714.3
## 1491 1576.0
## 1492 1777.3
## 1493 1609.9
## 1494 1739.9
## 1495 1703.0
## 1496 1762.4
## 1497 1618.1
## 1498 1475.9
## 1499 1632.3
## 1500 1560.3
## 1501 1553.3
## 1502 1772.2
## 1503 1653.2
## 1504 1780.1
## 1505 1785.3
## 1506 1534.3
## 1507 1641.4
## 1508 1703.6
## 1509 2029.7
## 1510 1780.9
## 1511 1605.3
## 1512 1807.4
## 1513 1656.9
## 1514 1625.4
## 1515 1652.2
## 1516 1338.8
## 1517 1651.5
## 1518 1860.9
## 1519 1538.2
## 1520 1539.3
## 1521 1324.5
## 1522 1611.6
## 1523 1728.3
## 1524 1460.1
## 1525 1843.5
## 1526 1736.3
## 1527 1467.9
## 1528 2037.7
## 1529 2022.8
## 1530 1633.2
## 1531 1661.3
## 1532 1558.0
## 1533 1622.0
## 1534 1681.1
## 1535 1538.0
## 1536 1568.7
## 1537 1506.7
## 1538 1625.4
## 1539 1593.9
## 1540 1606.5
## 1541 1625.6
## 1542 1732.6
## 1543 1422.9
## 1544 1852.2
## 1545 1520.8
## 1546 1728.2
## 1547 1624.2
## 1548 1459.5
## 1549 1728.2
## 1550 1783.2
## 1551 1671.3
## 1552 1502.6
## 1553 1655.7
## 1554 1688.8
## 1555 1573.1
## 1556 1484.7
## 1557 1909.9
## 1558 1451.9
## 1559 1670.5
## 1560 1627.3
## 1561 1476.5
## 1562 1583.9
## 1563 1553.1
## 1564 1684.1
## 1565 1670.4
## 1566 1702.6
## 1567 1612.2
## 1568 1449.9
## 1569 1751.7
## 1570 1559.9
## 1571 1934.6
## 1572 1651.8
## 1573 1691.3
## 1574 1834.1
## 1575 1499.1
## 1576 1648.7
## 1577 1567.2
## 1578 2024.4
## 1579 1477.8
## 1580 1741.3
## 1581 1481.9
## 1582 1467.3
## 1583 1455.9
## 1584 1528.3
## 1585 1757.2
## 1586 2127.0
## 1587 1638.5
## 1588 1419.5
## 1589 1715.2
## 1590 1687.2
## 1591 1662.6
## 1592 1574.7
## 1593 1552.8
## 1594 1549.9
## 1595 1668.7
## 1596 1746.4
## 1597 1441.3
## 1598 1565.3
## 1599 1591.2
## 1600 1533.3
## 1601 1969.6
## 1602 1458.4
## 1603 1797.2
## 1604 1551.9
## 1605 1474.7
## 1606 1569.4
## 1607 1845.0
## 1608 1642.8
## 1609 1668.0
## 1610 1441.9
## 1611 1698.9
## 1612 1816.5
## 1613 1840.7
## 1614 1603.4
## 1615 1631.8
## 1616 1648.6
## 1617 1698.9
## 1618 1552.3
## 1619 1494.0
## 1620 1702.7
## 1621 1641.0
## 1622 1775.6
## 1623 1907.9
## 1624 1739.6
## 1625 1656.5
## 1626 1716.6
## 1627 1534.8
## 1628 1632.8
## 1629 1583.3
## 1630 1653.1
## 1631 1456.2
## 1632 1884.9
## 1633 2053.2
## 1634 1484.4
## 1635 1691.6
## 1636 1644.1
## 1637 1527.3
## 1638 1646.0
## 1639 1476.3
## 1640 1799.8
## 1641 1726.2
## 1642 1411.9
## 1643 1590.2
## 1644 1508.7
## 1645 1594.5
## 1646 1600.3
## 1647 1700.9
## 1648 1493.7
## 1649 1970.8
## 1650 2104.1
## 1651 1550.1
## 1652 1373.5
## 1653 1741.4
## 1654 1704.1
## 1655 1316.3
## 1656 1227.5
## 1657 1972.2
## 1658 1547.2
## 1659 1714.4
## 1660 1577.7
## 1661 2070.4
## 1662 1676.3
## 1663 1942.3
## 1664 1708.2
## 1665 1572.9
## 1666 1656.7
## 1667 1938.2
## 1668 1562.3
## 1669 1741.2
## 1670 1683.5
## 1671 1667.7
## 1672 1550.4
## 1673 1940.2
## 1674 1585.3
## 1675 1796.2
## 1676 1498.0
## 1677 1786.3
## 1678 1604.1
## 1679 1974.0
## 1680 1458.9
## 1681 1952.7
## 1682 1706.5
## 1683 1517.9
## 1684 1560.0
## 1685 1647.4
## 1686 1524.1
## 1687 1452.7
## 1688 1637.8
## 1689 1628.5
## 1690 1716.1
## 1691 1436.4
## 1692 1698.7
## 1693 1632.1
## 1694 1576.3
## 1695 1771.6
## 1696 1877.8
## 1697 1689.7
## 1698 1554.3
## 1699 1844.9
## 1700 1678.4
## 1701 1638.8
## 1702 1718.9
## 1703 1562.8
## 1704 1613.3
## 1705 1626.6
## 1706 1808.6
## 1707 1658.5
## 1708 1443.0
## 1709 1694.3
## 1710 1601.6
## 1711 1528.4
## 1712 1625.7
## 1713 1798.8
## 1714 1725.6
## 1715 1657.3
## 1716 1607.2
## 1717 1620.1
## 1718 1495.3
## 1719 1666.2
## 1720 2007.2
## 1721 1943.3
## 1722 1762.4
## 1723 1628.8
## 1724 1711.7
## 1725 1671.6
## 1726 1474.7
## 1727 1654.1
## 1728 1651.3
## 1729 1573.9
## 1730 1440.6
## 1731 1565.3
## 1732 1553.3
## 1733 1607.7
## 1734 1743.5
## 1735 1695.4
## 1736 1829.5
## 1737 1730.6
## 1738 1510.4
## 1739 1493.6
## 1740 1657.0
## 1741 1511.2
## 1742 1554.5
## 1743 1570.5
## 1744 1737.9
## 1745 1451.1
## 1746 1747.5
## 1747 1624.9
## 1748 1742.9
## 1749 1637.9
## 1750 1619.8
## 1751 1701.3
## 1752 1637.7
## 1753 1575.5
## 1754 1761.3
## 1755 1674.5
## 1756 1700.2
## 1757 1524.2
## 1758 1732.3
## 1759 1553.8
## 1760 1665.1
## 1761 1525.2
## 1762 1464.2
## 1763 1500.5
## 1764 1876.8
## 1765 1357.1
## 1766 1665.0
## 1767 2261.4
## 1768 1567.7
## 1769 1705.9
## 1770 1475.0
## 1771 1895.7
## 1772 1644.7
## 1773 1601.2
## 1774 1788.3
## 1775 1683.8
## 1776 1598.1
## 1777 1508.2
## 1778 1845.6
## 1779 1786.9
## 1780 1830.3
## 1781 1850.6
## 1782 1591.2
## 1783 1657.3
## 1784 1609.8
## 1785 1691.8
## 1786 1573.3
## 1787 1496.3
## 1788 1765.5
## 1789 1717.1
## 1790 1673.1
## 1791 1766.7
## 1792 1570.6
## 1793 1520.9
## 1794 1400.0
## 1795 1606.1
## 1796 1394.5
## 1797 1505.5
## 1798 1398.7
## 1799 1482.7
## 1800 1807.2
## 1801 1500.7
## 1802 1686.0
## 1803 2019.2
## 1804 1609.7
## 1805 2032.9
## 1806 1641.1
## 1807 1652.1
## 1808 1764.6
## 1809 1774.3
## 1810 1823.0
## 1811 1538.9
## 1812 1427.8
## 1813 1526.4
## 1814 1562.2
## 1815 1541.8
## 1816 1539.9
## 1817 1710.6
## 1818 1586.6
## 1819 1672.7
## 1820 1859.0
## 1821 1661.5
## 1822 1700.8
## 1823 1775.4
## 1824 1889.0
## 1825 1516.5
## 1826 1949.9
## 1827 1613.9
## 1828 1477.6
## 1829 1363.6
## 1830 1915.7
## 1831 1520.6
## 1832 1649.7
## 1833 1419.2
## 1834 1701.9
## 1835 1546.0
## 1836 1710.3
## 1837 1388.3
## 1838 1566.0
## 1839 1620.7
## 1840 1491.3
## 1841 1492.5
## 1842 1975.7
## 1843 1742.7
## 1844 1484.8
## 1845 1593.8
## 1846 1942.4
## 1847 1454.6
## 1848 1608.9
## 1849 1429.8
## 1850 1580.9
## 1851 1520.7
## 1852 1529.6
## 1853 1592.4
## 1854 1711.0
## 1855 1937.1
## 1856 1582.5
## 1857 1511.7
## 1858 1613.0
## 1859 1426.0
## 1860 1588.1
## 1861 1862.9
## 1862 1501.1
## 1863 1489.9
## 1864 1935.8
## 1865 1713.7
## 1866 1626.8
## 1867 1592.9
## 1868 1523.0
## 1869 1609.9
## 1870 1565.9
## 1871 1723.1
## 1872 1828.6
## 1873 1669.6
## 1874 1620.8
## 1875 1818.4
## 1876 1642.6
## 1877 1803.0
## 1878 1562.0
## 1879 1871.6
## 1880 1413.0
## 1881 1741.2
## 1882 1755.9
## 1883 1588.9
## 1884 1474.5
## 1885 2007.2
## 1886 1618.1
## 1887 1534.3
## 1888 1619.4
## 1889 1818.5
## 1890 1805.3
## 1891 1675.3
## 1892 1635.4
## 1893 1788.5
## 1894 1851.4
## 1895 1957.0
## 1896 1944.9
## 1897 1544.4
## 1898 1581.3
## 1899 1460.1
## 1900 1534.4
## 1901 1686.6
## 1902 1757.8
## 1903 1487.4
## 1904 1604.2
## 1905 1591.5
## 1906 1412.2
## 1907 1579.0
## 1908 1747.2
## 1909 1719.3
## 1910 1659.6
## 1911 1555.3
## 1912 1663.9
## 1913 1517.8
## 1914 1695.2
## 1915 1652.3
## 1916 1705.6
## 1917 1619.0
## 1918 1663.9
## 1919 1621.3
## 1920 1665.2
## 1921 1469.5
## 1922 1498.3
## 1923 1447.1
## 1924 1710.9
## 1925 1789.4
## 1926 1526.3
## 1927 1686.4
## 1928 1531.9
## 1929 1571.4
## 1930 1843.0
## 1931 1562.1
## 1932 1906.9
## 1933 1832.3
## 1934 1676.9
## 1935 1570.2
## 1936 1626.7
## 1937 1710.0
## 1938 1908.5
## 1939 1753.7
## 1940 1820.9
## 1941 1708.1
## 1942 1507.0
## 1943 1717.5
## 1944 1559.2
## 1945 1605.6
## 1946 2058.4
## 1947 1634.0
## 1948 1519.5
## 1949 1544.2
## 1950 1524.4
## 1951 1541.0
## 1952 1828.3
## 1953 1451.5
## 1954 1530.8
## 1955 1781.1
## 1956 1575.3
## 1957 1454.8
## 1958 1803.9
## 1959 1716.6
## 1960 1575.1
## 1961 1537.9
## 1962 1631.0
## 1963 1590.8
## 1964 1580.3
## 1965 1530.6
## 1966 1393.4
## 1967 1676.0
## 1968 1625.1
## 1969 1930.7
## 1970 1804.2
## 1971 1789.5
## 1972 1568.2
## 1973 1514.8
## 1974 1510.9
## 1975 1603.2
## 1976 1545.7
## 1977 1618.0
## 1978 1619.7
## 1979 1943.3
## 1980 1761.1
## 1981 1779.6
## 1982 1683.9
## 1983 1785.5
## 1984 1639.2
## 1985 1612.7
## 1986 1588.3
## 1987 1879.6
## 1988 1530.9
## 1989 1497.2
## 1990 1739.4
## 1991 1400.7
## 1992 1652.6
## 1993 1717.7
## 1994 1663.1
## 1995 1803.7
## 1996 1668.3
## 1997 1761.9
## 1998 1630.4
## 1999 1788.6
## 2000 1535.8
## 2001 1739.3
## 2002 1850.0
## 2003 1374.2
## 2004 1667.0
## 2005 1975.4
## 2006 1522.6
## 2007 1564.4
## 2008 1491.0
## 2009 1802.7
## 2010 1667.0
## 2011 1571.1
## 2012 1566.6
## 2013 1608.8
## 2014 1963.6
## 2015 1589.8
## 2016 1980.2
## 2017 1687.0
## 2018 1477.9
## 2019 1754.4
## 2020 1457.0
## 2021 1544.4
## 2022 1686.2
## 2023 1765.2
## 2024 1513.3
## 2025 1529.8
## 2026 1889.9
## 2027 1560.6
## 2028 1586.6
## 2029 1925.9
## 2030 1726.7
## 2031 1731.9
## 2032 1629.4
## 2033 1697.8
## 2034 1532.7
## 2035 1510.3
## 2036 1679.2
## 2037 1582.0
## 2038 1489.2
## 2039 1329.7
## 2040 1582.3
## 2041 1553.3
## 2042 1594.5
## 2043 1639.1
## 2044 1488.3
## 2045 1699.0
## 2046 1750.1
## 2047 1786.9
## 2048 1681.3
## 2049 1476.0
## 2050 1691.9
## 2051 1526.4
## 2052 1948.0
## 2053 1500.9
## 2054 1494.5
## 2055 1558.5
## 2056 1596.7
## 2057 1694.3
## 2058 1758.0
## 2059 1628.5
## 2060 1617.4
## 2061 1772.3
## 2062 1496.3
## 2063 1549.1
## 2064 1512.5
## 2065 2208.8
## 2066 1568.6
## 2067 1671.0
## 2068 1438.2
## 2069 1604.5
## 2070 1712.4
## 2071 1830.9
## 2072 1664.5
## 2073 1412.1
## 2074 1694.9
## 2075 1638.1
## 2076 1455.0
## 2077 1495.4
## 2078 1632.4
## 2079 1656.1
## 2080 1438.7
## 2081 1779.0
## 2082 1688.4
## 2083 1661.3
## 2084 1572.9
## 2085 1584.0
## 2086 1661.9
## 2087 1814.1
## 2088 1740.8
## 2089 1492.8
## 2090 1711.3
## 2091 1736.1
## 2092 2009.8
## 2093 1679.4
## 2094 1848.1
## 2095 1668.8
## 2096 1591.4
## 2097 1424.1
## 2098 1544.6
## 2099 1792.8
## 2100 1843.7
## 2101 1474.4
## 2102 1621.9
## 2103 1987.5
## 2104 1336.7
## 2105 1509.5
## 2106 1580.7
## 2107 1711.2
## 2108 1961.5
## 2109 1625.2
## 2110 1747.5
## 2111 1690.8
## 2112 1731.8
## 2113 1566.6
## 2114 1454.5
## 2115 1813.2
## 2116 1516.1
## 2117 1494.5
## 2118 1590.6
## 2119 1490.2
## 2120 1598.3
## 2121 1705.6
## 2122 1935.8
## 2123 1769.5
## 2124 1482.9
## 2125 1748.5
## 2126 1607.4
## 2127 1771.4
## 2128 1615.3
## 2129 1621.7
## 2130 1681.3
## 2131 1890.9
## 2132 1899.0
## 2133 1421.6
## 2134 1526.0
## 2135 1774.2
## 2136 1849.9
## 2137 1576.1
## 2138 1758.7
## 2139 1712.7
## 2140 1691.7
## 2141 1717.1
## 2142 1504.1
## 2143 1464.1
## 2144 1760.7
## 2145 1756.8
## 2146 1817.7
## 2147 1617.1
## 2148 1395.3
## 2149 1712.4
## 2150 1517.1
## 2151 1513.7
## 2152 1634.3
## 2153 1620.2
## 2154 1999.0
## 2155 1526.1
## 2156 1743.2
## 2157 1817.8
## 2158 1640.0
## 2159 1362.1
## 2160 1594.2
## 2161 1545.4
## 2162 1924.6
## 2163 1542.2
## 2164 1514.1
## 2165 1465.2
## 2166 1688.4
## 2167 1997.2
## 2168 1591.7
## 2169 1880.8
## 2170 1588.8
## 2171 1392.5
## 2172 1750.8
## 2173 1989.1
## 2174 1560.8
## 2175 1667.9
## 2176 1599.4
## 2177 1680.6
## 2178 1396.0
## 2179 1498.1
## 2180 1486.7
## 2181 1649.2
## 2182 1418.2
## 2183 1687.6
## 2184 1684.6
## 2185 1720.7
## 2186 1507.8
## 2187 1490.7
## 2188 1511.2
## 2189 1565.6
## 2190 1408.6
## 2191 1433.6
## 2192 1561.0
## 2193 1675.2
## 2194 1852.6
## 2195 1720.4
## 2196 1668.4
## 2197 1728.8
## 2198 1722.7
## 2199 1958.6
## 2200 1554.2
## 2201 1529.5
## 2202 1650.1
## 2203 1512.8
## 2204 1689.5
## 2205 1723.5
## 2206 1574.6
## 2207 1585.2
## 2208 1938.2
## 2209 1541.7
## 2210 1519.0
## 2211 1727.5
## 2212 1578.4
## 2213 1533.5
## 2214 1590.0
## 2215 1404.1
## 2216 1524.4
## 2217 1599.2
## 2218 1760.4
## 2219 1731.9
## 2220 1625.8
## 2221 1563.8
## 2222 1538.1
## 2223 1539.1
## 2224 1638.4
## 2225 1610.7
## 2226 1653.0
## 2227 1583.6
## 2228 1739.9
## 2229 1726.7
## 2230 1411.8
## 2231 1658.6
## 2232 1476.4
## 2233 1741.4
## 2234 1872.8
## 2235 1577.8
## 2236 1396.2
## 2237 1540.7
## 2238 1525.2
## 2239 1654.8
## 2240 1658.1
## 2241 1637.7
## 2242 1356.7
## 2243 1783.2
## 2244 1471.6
## 2245 1841.2
## 2246 1352.9
## 2247 1570.3
## 2248 1626.6
## 2249 2087.8
## 2250 1623.8
## 2251 1698.9
## 2252 1579.3
## 2253 1738.4
## 2254 1699.6
## 2255 1644.7
## 2256 1611.9
## 2257 1532.8
## 2258 1772.1
## 2259 1817.0
## 2260 1391.7
## 2261 1701.0
## 2262 1674.0
## 2263 1730.6
## 2264 1861.1
## 2265 1576.1
## 2266 1573.0
## 2267 1684.2
## 2268 1607.5
## 2269 1474.8
## 2270 1792.6
## 2271 1518.0
## 2272 1566.4
## 2273 2021.9
## 2274 1794.4
## 2275 1916.8
## 2276 1576.4
## 2277 1527.6
## 2278 1594.6
## 2279 1750.0
## 2280 1702.7
## 2281 1610.1
## 2282 1758.2
## 2283 1559.5
## 2284 1690.6
## 2285 1766.6
## 2286 1621.2
## 2287 1895.8
## 2288 1717.8
## 2289 1766.6
## 2290 1480.8
## 2291 1607.4
## 2292 1461.4
## 2293 1701.6
## 2294 1774.6
## 2295 1907.0
## 2296 1546.5
## 2297 1624.2
## 2298 1482.4
## 2299 1756.7
## 2300 1588.1
## 2301 1544.2
## 2302 1496.8
## 2303 1785.0
## 2304 1684.2
## 2305 1690.2
## 2306 1828.2
## 2307 1856.5
## 2308 1532.2
## 2309 1881.7
## 2310 1656.3
## 2311 1647.9
## 2312 1599.5
## 2313 1745.0
## 2314 1619.7
## 2315 1752.5
## 2316 1880.4
## 2317 1416.7
## 2318 1624.1
## 2319 1709.3
## 2320 1526.1
## 2321 1750.1
## 2322 1957.8
## 2323 1717.5
## 2324 1626.0
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## 2326 1488.8
## 2327 1791.2
## 2328 1666.8
## 2329 1478.4
## 2330 1781.1
## 2331 1538.0
## 2332 1533.4
## 2333 1694.7
## 2334 1671.6
## 2335 1612.5
## 2336 1588.4
## 2337 1730.2
## 2338 1946.5
## 2339 1576.7
## 2340 1410.0
## 2341 1524.1
## 2342 1966.8
## 2343 1625.2
## 2344 1554.6
## 2345 1851.9
## 2346 1649.9
## 2347 1571.4
## 2348 1584.4
## 2349 1664.7
## 2350 1687.1
## 2351 1782.4
## 2352 1644.7
## 2353 1541.4
## 2354 1425.5
## 2355 1615.7
## 2356 1866.2
## 2357 1653.4
## 2358 1835.4
## 2359 1912.1
## 2360 1675.7
## 2361 1778.4
## 2362 1612.3
## 2363 1664.3
## 2364 1408.0
## 2365 1947.2
## 2366 1843.1
## 2367 1699.5
## 2368 1605.0
## 2369 1439.4
## 2370 1598.3
## 2371 1764.1
## 2372 1531.7
## 2373 1831.5
## 2374 1666.7
## 2375 1928.2
## 2376 1564.5
## 2377 1601.5
## 2378 1667.3
## 2379 1659.0
## 2380 1627.3
## 2381 1614.7
## 2382 1805.5
## 2383 1643.7
## 2384 1792.9
## 2385 1488.9
## 2386 1542.5
## 2387 1904.1
## 2388 1566.0
## 2389 1619.7
## 2390 1877.3
## 2391 1486.4
## 2392 1346.6
## 2393 1710.5
## 2394 1499.0
## 2395 1383.6
## 2396 1748.0
## 2397 1333.2
## 2398 2006.6
## 2399 1855.4
## 2400 1916.3
## 2401 1410.9
## 2402 1635.2
## 2403 1575.9
## 2404 1729.5
## 2405 1591.7
## 2406 1549.0
## 2407 1538.4
## 2408 1545.2
## 2409 1450.1
## 2410 1643.3
## 2411 1569.8
## 2412 2140.6
## 2413 1711.8
## 2414 1406.8
## 2415 1821.9
## 2416 1550.5
## 2417 1696.1
## 2418 1573.2
## 2419 1548.0
## 2420 1789.1
## 2421 1547.2
## 2422 1584.4
## 2423 1884.8
## 2424 1571.0
## 2425 1406.6
## 2426 1707.7
## 2427 1596.7
## 2428 1417.7
## 2429 1626.5
## 2430 1466.8
## 2431 1557.0
## 2432 1756.7
## 2433 1487.2
## 2434 1596.6
## 2435 1564.4
## 2436 1702.0
## 2437 1708.0
## 2438 1603.7
## 2439 1500.0
## 2440 1738.0
## 2441 1676.2
## 2442 1664.5
## 2443 1525.6
## 2444 1646.5
## 2445 1783.5
## 2446 1521.6
## 2447 1538.3
## 2448 1497.4
## 2449 1781.6
## 2450 1601.4
## 2451 1688.8
## 2452 1689.2
## 2453 1570.4
## 2454 1400.9
## 2455 1598.0
## 2456 1839.3
## 2457 1533.9
## 2458 1638.5
## 2459 1740.7
## 2460 1479.1
## 2461 1617.3
## 2462 1434.7
## 2463 1462.9
## 2464 1572.9
## 2465 1668.7
## 2466 1524.4
## 2467 1630.8
## 2468 1882.1
## 2469 1574.9
## 2470 1693.3
## 2471 1488.5
## 2472 1828.3
## 2473 1873.2
## 2474 1543.2
## 2475 1856.7
## 2476 1607.1
## 2477 1731.7
## 2478 1650.5
## 2479 1809.4
## 2480 1684.8
## 2481 1443.2
## 2482 1613.1
## 2483 1501.7
## 2484 1669.9
## 2485 1872.7
## 2486 1693.2
## 2487 1557.5
## 2488 1605.0
## 2489 1690.2
## 2490 1797.4
## 2491 1668.8
## 2492 1751.2
## 2493 1691.7
## 2494 1592.7
## 2495 1974.2
## 2496 1775.0
## 2497 1533.2
## 2498 1584.6
## 2499 1536.7
## [ reached 'max' / getOption("max.print") -- omitted 7380 rows ]colnames(league_data)## [1] "gameId" "blueWins"
## [3] "blueWardsPlaced" "blueWardsDestroyed"
## [5] "blueFirstBlood" "blueKills"
## [7] "blueDeaths" "blueAssists"
## [9] "blueEliteMonsters" "blueDragons"
## [11] "blueHeralds" "blueTowersDestroyed"
## [13] "blueTotalGold" "blueAvgLevel"
## [15] "blueTotalExperience" "blueTotalMinionsKilled"
## [17] "blueTotalJungleMinionsKilled" "blueGoldDiff"
## [19] "blueExperienceDiff" "blueCSPerMin"
## [21] "blueGoldPerMin" "redWardsPlaced"
## [23] "redWardsDestroyed" "redFirstBlood"
## [25] "redKills" "redDeaths"
## [27] "redAssists" "redEliteMonsters"
## [29] "redDragons" "redHeralds"
## [31] "redTowersDestroyed" "redTotalGold"
## [33] "redAvgLevel" "redTotalExperience"
## [35] "redTotalMinionsKilled" "redTotalJungleMinionsKilled"
## [37] "redGoldDiff" "redExperienceDiff"
## [39] "redCSPerMin" "redGoldPerMin"skim_without_charts(league_data)| Name | league_data |
| Number of rows | 9879 |
| Number of columns | 40 |
| _______________________ | |
| Column type frequency: | |
| numeric | 40 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 |
|---|---|---|---|---|---|---|---|---|---|
| gameId | 0 | 1 | 4500084044.85 | 27573278.49 | 4295358071.0 | 4483301169.00 | 4510920346.0 | 4.521733e+09 | 4527990640.0 |
| blueWins | 0 | 1 | 0.50 | 0.50 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 1.0 |
| blueWardsPlaced | 0 | 1 | 22.29 | 18.02 | 5.0 | 14.00 | 16.0 | 2.000000e+01 | 250.0 |
| blueWardsDestroyed | 0 | 1 | 2.82 | 2.17 | 0.0 | 1.00 | 3.0 | 4.000000e+00 | 27.0 |
| blueFirstBlood | 0 | 1 | 0.50 | 0.50 | 0.0 | 0.00 | 1.0 | 1.000000e+00 | 1.0 |
| blueKills | 0 | 1 | 6.18 | 3.01 | 0.0 | 4.00 | 6.0 | 8.000000e+00 | 22.0 |
| blueDeaths | 0 | 1 | 6.14 | 2.93 | 0.0 | 4.00 | 6.0 | 8.000000e+00 | 22.0 |
| blueAssists | 0 | 1 | 6.65 | 4.06 | 0.0 | 4.00 | 6.0 | 9.000000e+00 | 29.0 |
| blueEliteMonsters | 0 | 1 | 0.55 | 0.63 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 2.0 |
| blueDragons | 0 | 1 | 0.36 | 0.48 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 1.0 |
| blueHeralds | 0 | 1 | 0.19 | 0.39 | 0.0 | 0.00 | 0.0 | 0.000000e+00 | 1.0 |
| blueTowersDestroyed | 0 | 1 | 0.05 | 0.24 | 0.0 | 0.00 | 0.0 | 0.000000e+00 | 4.0 |
| blueTotalGold | 0 | 1 | 16503.46 | 1535.45 | 10730.0 | 15415.50 | 16398.0 | 1.745900e+04 | 23701.0 |
| blueAvgLevel | 0 | 1 | 6.92 | 0.31 | 4.6 | 6.80 | 7.0 | 7.200000e+00 | 8.0 |
| blueTotalExperience | 0 | 1 | 17928.11 | 1200.52 | 10098.0 | 17168.00 | 17951.0 | 1.872400e+04 | 22224.0 |
| blueTotalMinionsKilled | 0 | 1 | 216.70 | 21.86 | 90.0 | 202.00 | 218.0 | 2.320000e+02 | 283.0 |
| blueTotalJungleMinionsKilled | 0 | 1 | 50.51 | 9.90 | 0.0 | 44.00 | 50.0 | 5.600000e+01 | 92.0 |
| blueGoldDiff | 0 | 1 | 14.41 | 2453.35 | -10830.0 | -1585.50 | 14.0 | 1.596000e+03 | 11467.0 |
| blueExperienceDiff | 0 | 1 | -33.62 | 1920.37 | -9333.0 | -1290.50 | -28.0 | 1.212000e+03 | 8348.0 |
| blueCSPerMin | 0 | 1 | 21.67 | 2.19 | 9.0 | 20.20 | 21.8 | 2.320000e+01 | 28.3 |
| blueGoldPerMin | 0 | 1 | 1650.35 | 153.54 | 1073.0 | 1541.55 | 1639.8 | 1.745900e+03 | 2370.1 |
| redWardsPlaced | 0 | 1 | 22.37 | 18.46 | 6.0 | 14.00 | 16.0 | 2.000000e+01 | 276.0 |
| redWardsDestroyed | 0 | 1 | 2.72 | 2.14 | 0.0 | 1.00 | 2.0 | 4.000000e+00 | 24.0 |
| redFirstBlood | 0 | 1 | 0.50 | 0.50 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 1.0 |
| redKills | 0 | 1 | 6.14 | 2.93 | 0.0 | 4.00 | 6.0 | 8.000000e+00 | 22.0 |
| redDeaths | 0 | 1 | 6.18 | 3.01 | 0.0 | 4.00 | 6.0 | 8.000000e+00 | 22.0 |
| redAssists | 0 | 1 | 6.66 | 4.06 | 0.0 | 4.00 | 6.0 | 9.000000e+00 | 28.0 |
| redEliteMonsters | 0 | 1 | 0.57 | 0.63 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 2.0 |
| redDragons | 0 | 1 | 0.41 | 0.49 | 0.0 | 0.00 | 0.0 | 1.000000e+00 | 1.0 |
| redHeralds | 0 | 1 | 0.16 | 0.37 | 0.0 | 0.00 | 0.0 | 0.000000e+00 | 1.0 |
| redTowersDestroyed | 0 | 1 | 0.04 | 0.22 | 0.0 | 0.00 | 0.0 | 0.000000e+00 | 2.0 |
| redTotalGold | 0 | 1 | 16489.04 | 1490.89 | 11212.0 | 15427.50 | 16378.0 | 1.741850e+04 | 22732.0 |
| redAvgLevel | 0 | 1 | 6.93 | 0.31 | 4.8 | 6.80 | 7.0 | 7.200000e+00 | 8.2 |
| redTotalExperience | 0 | 1 | 17961.73 | 1198.58 | 10465.0 | 17209.50 | 17974.0 | 1.876450e+04 | 22269.0 |
| redTotalMinionsKilled | 0 | 1 | 217.35 | 21.91 | 107.0 | 203.00 | 218.0 | 2.330000e+02 | 289.0 |
| redTotalJungleMinionsKilled | 0 | 1 | 51.31 | 10.03 | 4.0 | 44.00 | 51.0 | 5.700000e+01 | 92.0 |
| redGoldDiff | 0 | 1 | -14.41 | 2453.35 | -11467.0 | -1596.00 | -14.0 | 1.585500e+03 | 10830.0 |
| redExperienceDiff | 0 | 1 | 33.62 | 1920.37 | -8348.0 | -1212.00 | 28.0 | 1.290500e+03 | 9333.0 |
| redCSPerMin | 0 | 1 | 21.73 | 2.19 | 10.7 | 20.30 | 21.8 | 2.330000e+01 | 28.9 |
| redGoldPerMin | 0 | 1 | 1648.90 | 149.09 | 1121.2 | 1542.75 | 1637.8 | 1.741850e+03 | 2273.2 |
Use correlation matrix using heatmap to analyze variables associated with red team, blue team, and no correlation
res = cor(league_data)
heatmap(res, col = colorRampPalette(c("red", "white", "green"))(20), symm=TRUE, margins = c(10,10))
//Observation: Gives me a visual of the correlation between variables
Finding correlation that causes the winning rate for team blue
Create a new data set with selected columns
blue_team <- league_data |>
select(blueKills, blueTotalGold, blueWins, blueTowersDestroyed, blueTotalMinionsKilled, blueHeralds) Create a new column indicating win/loss status
blue_team2 <- blue_team |>
mutate(BWins = ifelse(blueWins > 0, "Win", "Loss")) [Test: x > 18,000 Gold]
Filter data to only include games with more than 18000 gold
Analyze the effect of having more than 18000 gold on your chances of winning
blue_team_wins <- blue_team2 |>
filter(blueTotalGold > 18000)Summarize win/loss rate for games with more than 18000 gold
more_than_18000 <- data.frame(winning_chance = sum(blue_team_wins$BWins == "Win") / nrow(blue_team_wins) * 100,
losing_chance = sum(blue_team_wins$BWins == "Loss") / nrow(blue_team_wins) * 100)Plot histogram of blueTotalGold for games with more than 18000 gold
ggplot(blue_team_wins) +
geom_histogram(mapping = aes(x = blueTotalGold, fill = BWins), bins = 100, alpha = 0.9)
//Observation: Having over 18000 gold gives you an 81% likelihood of winning the game and a 18% likelihood of losing it.
[Test: x < 16,000 Gold]
Filter data to only include games with less than 16000 gold
blue_team_downward_linear <- blue_team2 |>
filter(blueTotalGold < 16000)Summarize win/loss rate for games with less than 16000 gold
less_than_16000 <- data.frame(losing_chance = sum(blue_team_downward_linear$BWins == "Loss") / nrow(blue_team_downward_linear) * 100,
winning_chance = sum(blue_team_downward_linear$BWins == "Win") / nrow(blue_team_downward_linear) * 100)Plot histogram of blueTotalGold for games with less than 16000 gold
ggplot(blue_team_downward_linear) +
geom_histogram(mapping = aes(x = blueTotalGold, fill = BWins), bins = 100, alpha = 0.9)
//Observation: The analysis shows that if your gold is below 16000, there is a 71% likelihood of losing the game and a 38% chance of winning it.
[Test: Minion and Gold Correlation]
MORE gold from minions analysis
Create new data set with selected columns
minions_gold <- league_data |>
select(blueTotalGold, blueTotalMinionsKilled, blueWins)Filter data to only include games with more than 18000 gold
minions_gold_v2 <- minions_gold |>
filter(blueTotalGold > 18000)Plot results
ggplot(data = minions_gold_v2) + geom_jitter(aes(x = blueTotalMinionsKilled, y = blueTotalGold, color = blueWins), show.legend = FALSE) + scale_color_gradient("Wins", low = "10", high = "blue")
//Observation: There is a positive slope for having more minions killed and gold acquired that lead to a win. Therefore, killing more minions results in more gold which allows players surpass 18,000 gold making their chances of winning higher.
[Test: tower’s Destroyed 0]
Destroying blue tower winning probability
tower <- league_data |>
select(blueTowersDestroyed, blueTotalGold, blueWins) |>
mutate(BWins = ifelse(blueWins > 0, "Win", "Loss"))tower_v1 <- tower |>
filter(blueWins == 1 & blueTowersDestroyed == 0) |>
summarize(count = n())
winning_chance <- 4580/9876 * 100
losing_chance <- 5296/9876 * 100
tower_0 <- data.frame(winning_chance, losing_chance)ggplot(tower) +
geom_bar(mapping = aes(x = blueTowersDestroyed, fill = BWins))
ggplot(tower) +
geom_jitter(mapping = aes(x = blueTowersDestroyed, y = blueTotalGold, color = BWins))
//Observation: The probability of winning is estimated to be 46%, whereas the probability of losing stands at 54%. This significant imbalance can greatly impact someone’s probability of success and should therefore use other methods to increase probability.
[Test: towers destroyed 2+]
Destroy more than 1 tower probability
Filter data to only include cases where 2 or more blue towers were destroyed
Count the number of wins where 2 or more blue towers were destroyed
Calculate winning and losing chances
tower2 <- tower |>
filter(blueTowersDestroyed >= 2)
str(tower2)## 'data.frame': 35 obs. of 4 variables:
## $ blueTowersDestroyed: int 2 2 2 2 2 3 3 2 2 2 ...
## $ blueTotalGold : int 19036 20352 18553 19453 19197 21051 22228 20018 21728 19915 ...
## $ blueWins : int 1 1 1 1 1 1 1 1 1 1 ...
## $ BWins : chr "Win" "Win" "Win" "Win" ...win_count <- tower2 |>
filter(blueWins == 1) |>
summarise(count = n())
winning_chance <- 34/35 * 100
losing_chance <- 1/35 * 100Store the results in a data frame and print
tower_more_than_or_equal_to_2 <- data.frame(winning_chance = winning_chance, losing_chance = losing_chance)
print(tower_more_than_or_equal_to_2)## winning_chance losing_chance
## 1 97.14286 2.857143Plottower destruction vs. win/loss results
ggplot(data = tower2) +
geom_bar(mapping = aes(x = blueTowersDestroyed, fill = BWins))
ggplot(tower2) +
geom_jitter(mapping = aes(x =blueTowersDestroyed, y = blueTotalGold, color = BWins))
//Observation: The probability of winning is estimated to be 97%, whereas the probability of losing stands at 3%. This significant imbalance can greatly impact someone’s probability of success.
[Test: Acquiring Herald] (Ran into some issues with the plots)
Heralds and win rate
ggplot(blue_team2, aes(x = blueHeralds, fill = BWins)) +
geom_bar()
Players that did not get herald
no_herald_results <- blue_team2 |>
filter(blueHeralds == 0 & BWins == "Win") |>
summarise(no_herald_wins = n(), winning_chance = 100 * no_herald_wins / nrow(blue_team2))
print(no_herald_results)## no_herald_wins winning_chance
## 1 3825 38.71849herald <- blue_team2 |>
filter(blueHeralds == 0)ggplot(herald, aes(x = blueHeralds, fill = BWins)) +
geom_bar()
ggplot(herald, aes(x = blueHeralds, y = blueTotalGold, color = BWins)) +
geom_jitter()
winning_chance <- 3825/8022
losing_chance <- 4197/8022
no_herald <- data.frame(winning_chance = 100 * winning_chance, losing_chance = 100 * losing_chance)
print(no_herald)## winning_chance losing_chance
## 1 47.68138 52.31862Players that did get herald analysis
herald_df <- blue_team2 |>
filter(blueHeralds == 1) |>
select(BWins, blueHeralds)ggplot(herald_df) +
geom_bar(mapping = aes(x = blueHeralds, fill = BWins))
herald_win_rate <- data.frame(Win = 1105/1857 * 100, Lose = 752/1857 * 100)
print(herald_win_rate)## Win Lose
## 1 59.50458 40.49542//Observation: Players securing Herald increases your chances of winning a game by 59%, whereas the likelihood of losing is 40%. //Observation: Players that did not get herald have a 48% of winning the game and a 52% of losing the game.
//Observation: In conclusion, having more towers, gold, minion death, and objective lead contributes to higher odds of winning. Acquiring Herald strengthens your chances of winning by adding to your existing advantage of towers, gold, and objective lead.